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ORCIDnpj Digital Medicine, Volume 8
Volume 8, Number 1, 2025
- Joseph Kambeitz, Andreas Meyer-Lindenberg:
Modelling the impact of environmental and social determinants on mental health using generative agents. - Luciana D'adderio
, David W. Bates:
Transforming diagnosis through artificial intelligence. - Yong Whi Jeong, Hayon Michelle Choi, You Hyun Park, Yongjin Lee, Ji Ye Jung, Dae Ryong Kang:
Association between exposure to particulate matter and heart rate variability in vulnerable and susceptible individuals. - Tao Chen, Jialiang Wen, Xinchen Shen, Jiaqi Shen, Jiajun Deng, Mengmeng Zhao, Long Xu, Chunyan Wu, Bentong Yu, Minglei Yang, Minjie Ma, Junqi Wu, Yunlang She, Yifan Zhong, Likun Hou, Yanrui Jin, Chang Chen:
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma. - Kristin M. Kostick-Quenet:
A caution against customized AI in healthcare. - Tom W. Andrew, Mogdad Alrawi, Ruth Plummer, Nick J. Reynolds, Vern Sondak, Isaac Brownell, Penny E. Lovat, Aidan Rose, Sophia Z. Shalhout:
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers. - Anubhuti Sood, Deepika Mishra, Varun Surya, Harpreet Singh, Rajesh Sundaresan, Debnath Pal, Raghu Dharmaraju, Rohit Satish, Shashwat Mishra, Nishant A. Chavan, Soham Mondal, Pavan Duggal, Venkateswaran K. Iyer:
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector. - Lisa Asciak, Justicia Kyeremeh, Xichun Luo, Asimina Kazakidi, Patricia Connolly, Frederic Picard, Kevin O'Neill, Sotirios A. Tsaftaris, Grant D. Stewart, Wenmiao Shu:
Digital twin assisted surgery, concept, opportunities, and challenges. - Jitendra Jonnagaddala, Zoie Shui-Yee Wong:
Privacy preserving strategies for electronic health records in the era of large language models. - Albert J. Rogers, Neal K. Bhatia, Sabyasachi Bandyopadhyay, James E. Tooley, Rayan Ansari, Vyom Thakkar, Justin Xu, Jessica Torres Soto, Jagteshwar S. Tung, Mahmood I. Alhusseini, Paul Clopton, Reza Sameni, Gari D. Clifford, J. Weston Hughes, Euan A. Ashley, Marco V. Perez, Matei Zaharia, Sanjiv M. Narayan:
Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. - Donnella S. Comeau, Danielle S. Bitterman, Leo Anthony Celi:
Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability. - Gayeon Ryu, Jae Moon Choi, Hyeon Seok Seok, Jaehyung Lee, Eun-Kyung Lee, Hangsik Shin, Byung-Moon Choi:
Machine learning based quantitative pain assessment for the perioperative period. - Zheyi Dong, Xiaofei Wang, Sai Pan, Taohan Weng, Xiaoniao Chen, Shuangshuang Jiang, Ying Li, Zonghua Wang, Xueying Cao, Qian Wang, Pu Chen, Lai Jiang, Guangyan Cai, Li Zhang, Yong Wang, Jinkui Yang, Yani He, Hongli Lin, Jie Wu, Li Tang, Jianhui Zhou, Shengxi Li, Zhaohui Li, Yibing Fu, Xinyue Yu, Yanqiu Geng, Yingjie Zhang, Liqiang Wang, Mai Xu, Xiangmei Chen:
A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging. - José Luis Gracia Martínez, Bernadette Pfang, Miguel Ángel Morales Coca, Cristina Caramés Sánchez, Marta del Olmo Rodríguez, Marco Antonio Villegas García, Jorge Short Apellaniz, Javier Arcos Campillo, Juan Antonio Álvaro de la Parra, Florencia Manzano Lorefice, Luis Enrique Muñoz Alameda:
Implementing a closed loop clinical decision support system for sustainable preoperative care. - Karthik Adapa, Ashu Gupta, Sandeep Singh, Hitinder Kaur, Abhinav Trikha, Ajoy Sharma, Kumar Rahul:
A real world evaluation of an innovative artificial intelligence tool for population-level breast cancer screening. - Yuqi Yan, Kai Wang, Bojian Feng, Jincao Yao, Tian Jiang, Zhiyan Jin, Yin Zheng, Yahan Zhou, Chen Chen, Lin Sui, Xiayi Chen, Yanhong Du, Jie Yang, Qianmeng Pan, Lingyan Zhou, Vicky Yang Wang, Ping Liang, Dong Xu:
The use of large language models in detecting Chinese ultrasound report errors. - Greta Ullrich, Alexander Bäuerle, Lisa Maria Jahre, Katrin Paldán, Jana Rosemeyer, Chiara Kalaitzidis, Christos Rammos, Martin Teufel, Tienush Rassaf, Julia Lortz:
Impact of visual presentation of atherosclerotic carotid plaque on cardiovascular risk profile using mHealth technologies. - Haohuai He, Guanxing Chen, Zhenchao Tang, Calvin Yu-Chian Chen:
Dual modality feature fused neural network integrating binding site information for drug target affinity prediction. - Tian Lin, Meng Wang, Aidi Lin, Xiaoting Mai, Huiyu Liang, Yih Chung Tham, Haoyu Chen:
Efficiency and safety of automated label cleaning on multimodal retinal images. - Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans. - Zoie Shui-Yee Wong, Yang Gong, Shin Ushiro:
A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety. - Manlio De Domenico, Luca Allegri, Guido Caldarelli, Valeria d'Andrea, Barbara Di Camillo, Luis M. Rocha, Jordan C. Rozum, Riccardo Sbarbati, Francesco Zambelli:
Challenges and opportunities for digital twins in precision medicine from a complex systems perspective. - Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic:
Systematic review of machine learning applications using nonoptical motion tracking in surgery. - Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang:
Equitable artificial intelligence for glaucoma screening with fair identity normalization. - Cheng-Jiang Wei, Yan Tang, Yang-Bai Sun, Tie-Long Yang, Cheng Yan, Hui Liu, Jun Liu, Jing-Ning Huang, Ming-Han Wang, Zhen-Wei Yao, Ji-Long Yang, Zhi-Chao Wang, Qingfeng Li:
A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification. - Milena Engelke, Jorge Piano Simões, Laura Basso, Nina Wunder, Berthold Langguth, Thomas Probst, Rüdiger Pryss, Winfried Schlee:
Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data. - Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani:
A systematic review of machine learning applications in predicting opioid associated adverse events. - Shirley Shapiro Ben David, Roni Romano, Daniella Rahamim-Cohen, Joseph Azuri, Shira Greenfeld, Ben Gedassi, Uri Lerner:
AI driven decision support reduces antibiotic mismatches and inappropriate use in outpatient urinary tract infections. - Ruiqi Ma, Qian Cheng, Jing Yao, Zhiyu Peng, Mingxu Yan, Jie Lu, Jingjing Liao, Lejin Tian, Wenjun Shu, Yunqiu Zhang, Jinghan Wang, Pengfei Jiang, Weiyi Xia, Xiaofeng Li, Lu Gan, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Xiawei Wang, Xintong Lin, Haifeng Chen, Weifang Zhu, Dehui Xiang, Baoqing Nie, Jingtao Wang, Jie Guo, Kang Xue, Hongguang Cui, Jinwei Cheng, Xiangjia Zhu, Jiaxu Hong, Fei Shi, Rui Zhang, Xinjian Chen, Chen Zhao:
Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses. - Thalia Richter, Reut Shani, Shachaf Tal, Nazanin Derakshan, Noga Cohen, Philip M. Enock, Richard J. McNally, Nilly Mor, Shimrit Daches, Alishia D. Williams, Jenny Yiend, Per Carlbring, Jennie M. Kuckertz, Wenhui Yang, Andrea Reinecke, Christopher G. Beevers, Brian E. Bunnell, Ernst H. W. Koster, Sigal Zilcha-Mano, Hadas Okon-Singer:
Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms. - Arjun Mahajan, Dylan Powell:
Improving authenticity and provenance in digital biomarkers: the case for digital watermarking. - Kaan Sel, Andrea Hawkins-Daarud, Anirban Chaudhuri, Deen Osman, Ahmad Bahai, David Paydarfar, Karen Willcox, Caroline Chung, Roozbeh Jafari:
Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine. - Yun Hu, Joshua Wiley, Lulu Jiang, Xiyi Wang, Ran Yi, Jiehui Xu, Yanyan Liu, Aozhou Weng, Futai Zou, Eun-Ok Im:
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective. - Robbin Romijnders, Arash Atrsaei, Rana Zia Ur Rehman, Lea Strehlow, Jèrôme Massoud, Chloe Hinchliffe, Victoria Macrae, Kirsten Emmert, Ralf Reilmann, C. Janneke van der Woude, Geert Van Gassen, Frédéric Baribaud, Teemu Ahmaniemi, Meenakshi Chatterjee, Bruno Kusznir Vitturi, Clémence Pinaud, Jérôme Kalifa, Stefan Avey, Wan-Fai Ng, Clint Hansen, Nikolay V. Manyakov, Walter Maetzler:
Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases. - Philip Hempel, Antônio H. Ribeiro, Marcus Vollmer, Theresa Bender, Marcus Dörr, Dagmar Krefting, Nicolai Spicher:
Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study. - Arvind Veluvali, Ashkan Dehghani Zahedani, Amir Hosseinian, Nima Aghaeepour, Tracey McLaughlin, Mark Woodward, Alex Ditullio, Noosheen Hashemi, Michael P. Snyder:
Impact of digital health interventions on glycemic control and weight management. - Martijn J. Schuemie, Anna Ostropolets, Aleh Zhuk, Uladzislau Korsik, Seung In Seo, Marc A. Suchard, George Hripcsak, Patrick B. Ryan:
Standardized patient profile review using large language models for case adjudication in observational research. - Jin Woo Choi, Chuyi Cui, Kevin B. Wilkins, Helen M. Bronte-Stewart:
N2GNet tracks gait performance from subthalamic neural signals in Parkinson's disease. - Agustina D. Saenz, Thomas McCoy, Allison Bryant Mantha, Robert Martin, Robert Damiano, Deborah Adair, David Heaney, Rachel Sisodia, Lee Park, Robert Forsberg, Gerry Tuffy, Shawn Murphy, Keith Dreyer, Martha Jones, Heather Jean Cosier, Merranda Logan, Yogendra Bundela, Amanda Centi, David Ting, Jacqueline G. You, Adam B. Landman, Rebecca Grochow Mishuris:
Author Correction: Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions. - Laura M. König, Max J. Western, Andrea H. Denton, Rebecca Krukowski:
Umbrella review of social inequality in digital interventions targeting dietary and physical activity behaviors. - Mahnoor Ahmed, Tinglong Dai, Roomasa Channa, Michael D. Abràmoff, Harold P. Lehmann, Risa M. Wolf:
Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective. - Xiang He, Fuwang Wu, Kaixuan Hu, Lizhen Cui, Weiye Song, Yi Wan:
Fusing multispectral information for retinal layer segmentation. - Zhen Yu, Toàn D. Nguyên, Lie Ju, Yaniv Gal, Maithili Sashindranath, C. Paul Bonnington, Lei Zhang, Victoria Mar, Zongyuan Ge:
Hierarchical skin lesion image classification with prototypical decision tree. - Johnathon Edward Liddicoat, Gabriela Lenarczyk, Mateo Aboy, Timo Minssen, Sebastian Porsdam Mann:
A policy framework for leveraging generative AI to address enduring challenges in clinical trials. - Jun J. Mao, Karolina Bryl, Erin F. Gillespie, Angela Green, Tony K. W. Hung, Raymond Baser, Katherine Panageas, Michael A. Postow, Bobby Daly:
Randomized clinical trial of a digital integrative medicine intervention among patients undergoing active cancer treatment. - Jessie P. Bakker, Roland Barge, Jacob Centra, Bryan Cobb, Chas Cota, Christine Cong Guo, Bert Hartog, Nathalie Horowicz-Mehler, Elena S. Izmailova, Nikolay V. Manyakov, Samantha McClenahan, Stéphane Motola, Smit Patel, Oana Paun, Marian Schoone, Emre Sezgin, Thomas Switzer, Animesh Tandon, Willem van den Brink, Srinivasan Vairavan, Benjamin Vandendriessche, Bernard Vrijens, Jennifer C. Goldsack:
V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies. - Hyojin Lee, You Rim Choi, Hyun Kyung Lee, Jaemin Jeong, Joopyo Hong, Hyunwoo Shin, Hyung-Sin Kim:
Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals. - Iván López, Akshay Swaminathan, Karthik S. Vedula, Sanjana Narayanan, Fateme Nateghi Haredasht, Stephen P. Ma, April S. Liang, Steven Tate, Manoj Maddali, Robert Gallo, Nigam H. Shah, Jonathan H. Chen:
Clinical entity augmented retrieval for clinical information extraction. - Bayrem Kaabachi, Jérémie Despraz, Thierry Meurers, Karen Otte, Mehmed Halilovic, Bogdan Kulynych, Fabian Prasser, Jean Louis Raisaro:
A scoping review of privacy and utility metrics in medical synthetic data. - Tal El-Hay, Jenna Marie Reps, Chen Yanover:
Extensive benchmarking of a method that estimates external model performance from limited statistical characteristics. - Ching-Heng Lin, Zhi-Yong Liu, Pao-Hsien Chu, Jung-Sheng Chen, Hsin-Hsu Wu, Ming-Shien Wen, Chang-Fu Kuo, Ting-Yu Chang:
A multitask deep learning model utilizing electrocardiograms for major cardiovascular adverse events prediction. - Weiyang Deng, Megan K. O'Brien, Rachel A. Andersen, Richa Rai, Erin Jones, Arun Jayaraman:
A systematic review of portable technologies for the early assessment of motor development in infants. - Xiaohao Mao, Yu Huang, Ye Jin, Lun Wang, Xuanzhong Chen, Honghong Liu, Xinglin Yang, Haopeng Xu, Xiaodong Luan, Ying Xiao, Siqin Feng, Jiahao Zhu, Xuegong Zhang, Rui Jiang, Shuyang Zhang, Ting Chen:
A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs. - Yonghun Song, Inyeol Yun, Sandra Giovanoli, Chris Awai Easthope, Yoonyoung Chung:
Multimodal deep ensemble classification system with wearable vibration sensor for detecting throat-related events. - Hao Chen, Longfei Gou, Zhiwen Fang, Qi Dou, Haobin Chen, Chang Chen, Yuqing Qiu, Jinglin Zhang, Chenglin Ning, Yanfeng Hu, Haijun Deng, Jiang Yu, Guoxin Li:
Artificial intelligence assisted real-time recognition of intra-abdominal metastasis during laparoscopic gastric cancer surgery. - Chang Sun, Michel Dumontier:
Generating unseen diseases patient data using ontology enhanced generative adversarial networks. - Anne-Jet Jansen, Guido M. Peters, Laura Kooij, Carine J. M. Doggen, Wim H. van Harten:
Device based monitoring in digital care and its impact on hospital service use. - Hayoung Jeong, Ali R. Roghanizad, Hiral Master, Juseong Kim, Aymone Kouame, Paul A. Harris, Melissa A. Basford, Kayla Marginean, Jessilyn Dunn:
Data from the All of Us research program reinforces existence of activity inequality. - Rohit Singla, Nikola Pupic, Seyed-Aryan Ghaffarizadeh, Caroline Kim, Ricky Hu, Bruce B. Forster, Ilker Hacihaliloglu:
Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study. - Robert Hogan, Sean R. Mathieson, Aurel Luca, Soraia Ventura, Sean Griffin, Geraldine B. Boylan, John M. O'Toole:
Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG. - Kimia Heydari, Elizabeth J. Enichen, Serena Wang, Grace C. Nickel, Joseph C. Kvedar:
A novel model for retinal imaging in the diagnosis of Alzheimer's disease. - Samuel F. Friedman, Shaan Khurshid, Rachael A. Venn, Xin Wang, Nathaniel Diamant, Paolo Di Achille, Lu-Chen Weng, Seung Hoan Choi, Christopher Reeder, James P. Pirruccello, Pulkit Singh, Emily S. Lau, Anthony A. Philippakis, Christopher D. Anderson, Mahnaz Maddah, Puneet Batra, Patrick T. Ellinor, Jennifer E. Ho, Steven A. Lubitz:
Unsupervised deep learning of electrocardiograms enables scalable human disease profiling. - Roos J. Jutten, Daniel Soberanes, Cassidy P. Molinare, Stephanie Hsieh, Michelle E. Farrell, Aaron S. Schultz, Dorene M. Rentz, Gad A. Marshall, Keith A. Johnson, Reisa A. Sperling, Rebecca E. Amariglio, Kathryn V. Papp:
Detecting early cognitive deficits in preclinical Alzheimer's disease using a remote digital multi-day learning paradigm. - Jinghong Chen, Anqi Lin, Aimin Jiang, Chang Qi, Zaoqu Liu, Quan Cheng, Shuofeng Yuan, Peng Luo:
Computational frameworks transform antagonism to synergy in optimizing combination therapies. - Tathiany J. Ferreira, Igor C. Salvador, Carolina R. Pessanha, Renata R. M. da Silva, Aline D. Pereira, Maria A. Horst, Denise P. Carvalho, Josely C. Koury, Anna P. T. R. Pierucci:
Advances in the estimation of body fat percentage using an artificial intelligence 2D-photo method. - Alan Balendran, Céline Beji, Florie Bouvier, Ottavio Khalifa, Theodoros Evgeniou, Philippe Ravaud, Raphaël Porcher:
A scoping review of robustness concepts for machine learning in healthcare. - Nadir Sella, Florent Guinot, Nikita Lagrange, Laurent-Philippe Albou, Jonathan Desponds, Hervé Isambert:
Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation. - Siân Bladon, Emily Eisner, Sandra Bucci, Anuoluwapo Oluwatayo, Glen P. Martin, Matthew Sperrin, John D. Ainsworth, Sophie Faulkner:
A systematic review of passive data for remote monitoring in psychosis and schizophrenia. - Gustavo Frigieri, Sérgio Brasil, Danilo Cardim, Marek Czosnyka, Matheus Ferreira, Wellingson S. Paiva, Xiao Hu:
Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms. - Chaoyi Wu, Pengcheng Qiu, Jinxin Liu, Hongfei Gu, Na Li, Ya Zhang, Yanfeng Wang, Weidi Xie:
Towards evaluating and building versatile large language models for medicine. - Kimia Heydari, Elizabeth J. Enichen, Ben Li, Joseph C. Kvedar:
A new metric to understand the association between heart rate variability and menstrual regularity. - Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd:
3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology. - Joon Yul Choi, Doo Eun Kim, Sung Jin Kim, Hannuy Choi, Tae Keun Yoo:
Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction. - Mansoureh Yari Eili, Jalal Rezaeenour, Mohammad Hossein Roozbahani:
Predicting clinical pathways of traumatic brain injuries (TBIs) through process mining. - Vadim Gliner, Idan Levy, Kenta Tsutsui, Moshe Rav Acha, Jorge Schliamser, Assaf Schuster, Yael Yaniv:
Clinically meaningful interpretability of an AI model for ECG classification. - Casper van der Zee, Heshow Jamal, Marc Muijzer, Laurence Frank, Gerko Vink, Robert Wisse:
Real world data on digital remote refraction in a healthy population of 14,680 eyes. - Samir Akre, Zachary D. Cohen, Amelia Welborn, Tomislav D. Zbozinek, Brunilda Balliu, Michelle G. Craske, Alex A. T. Bui:
Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance. - Yuta Takahashi, Hayato Idei, Misako Komatsu, Jun Tani, Hiroaki Tomita, Yuichi Yamashita:
Digital twin brain simulator for real-time consciousness monitoring and virtual intervention using primate electrocorticogram data. - Sören Becker, Razieh Rezabeigisani:
The triple integration of data, users and policies required for successful climate health solutions. - Gabrielle Hoyer, Kenneth T. Gao, Felix G. Gassert, Johanna Luitjens, Fei Jiang, Sharmila Majumdar, Valentina Pedoia:
Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement. - Soraia de Camargo Catapan, Hannah Sazon, Sophie Zheng, Victor Gallegos-Rejas, Roshni Mendis, Pedro H. R. Santiago, Jaimon T. Kelly:
A systematic review of consumers' and healthcare professionals' trust in digital healthcare. - Lars Masanneck, Sven G. Meuth, Marc Pawlitzki:
Evaluating base and retrieval augmented LLMs with document or online support for evidence based neurology. - Hmayag Partamian, Saeed Jahromi, Ludovica Corona, M. Scott Perry, Eleonora Tamilia, Joseph R. Madsen, Jeffrey Bolton, Scellig S. Stone, Phillip L. Pearl, Christos L. Papadelis:
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy. - Roma Shusterman, Allison C. Waters, Shannon O'Neill, Marshall Bangs, Phan Luu, Don M. Tucker:
An active inference strategy for prompting reliable responses from large language models in medical practice. - Giancarlo Speranza, Sven Mischkewitz, Fouad Al-Noor, Bernhard Kainz:
Value of clinical review for AI-guided deep vein thrombosis diagnosis with ultrasound imaging by non-expert operators. - Elizabeth J. Enichen, Kimia Heydari, Ben Li, Joseph C. Kvedar:
Telemedicine expands cardiovascular care in China - lessons for health equity in the United States. - Zhi-Xin Huang, Andrea M. Alexandre, Alessandro Pedicelli, Xuying He, Quanlong Hong, Yongkun Li, Ping Chen, Qiankun Cai, Aldobrando Broccolini, Luca Scarcia, Serena Abruzzese, Carlo Cirelli, Mauro Bergui, Andrea Romi, Erwah Kalsoum, Giulia Frauenfelder, Grzegorz Meder, Simona Scalise, Maria Porzia Ganimede, Luigi Bellini, Bruno Del Sette, Francesco Arba, Susanna Sammali, Andrea Salcuni, Sergio Lucio Vinci, Giacomo Cester, Luisa Roveri, Xianjun Huang, Wen Sun:
AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation. - Hugh Logan Ellis, Edward Palmer, James T. Teo, Martin Whyte, Kenneth Rockwood, Zina M. Ibrahim:
The early warning paradox. - Edwin F. Juarez, Bennet Peterson, Erica Sanford Kobayashi, Sheldon Gilmer, Laura E. Tobin, Brandan Schultz, Jerica Lenberg, Jeanne Carroll, Shiyu Bai-Tong, Nathaly M. Sweeney, Curtis Beebe, Lawrence Stewart, Lauren Olsen, Julie Reinke, Elizabeth A. Kiernan, Rebecca Reimers, Kristen Wigby, Chris Tackaberry, Mark Yandell, Charlotte Hobbs, Matthew N. Bainbridge:
A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit. - Xintian Yang, Tongxin Li, Han Wang, Rongchun Zhang, Zhi Ni, Na Liu, Huihong Zhai, Jianghai Zhao, Fandong Meng, Zhongyin Zhou, Shanhong Tang, Limei Wang, Xiangping Wang, Hui Luo, Gui Ren, Linhui Zhang, Xiaoyu Kang, Jun Wang, Ning Bo, Xiaoning Yang, Weijie Xue, Xiaoyin Zhang, Ning Chen, Rui Guo, Baiwen Li, Yajun Li, Yaling Liu, Tiantian Zhang, Shuhui Liang, Yong Lv, Yongzhan Nie, Daiming Fan, Lina Zhao, Yanglin Pan:
Multiple large language models versus experienced physicians in diagnosing challenging cases with gastrointestinal symptoms. - Jonas Bienzeisler, Alexander Kombeiz, Saskia Ehrentreich, Ronny Otto, Wiebke Schirrmeister, Marco Pegoraro, Dominik Brammen, Behrus Puladi, Rainer Röhrig, Raphael W. Majeed:
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry. - Kenichi Ishizu, Satoshi Takahashi, Nobuji Kouno, Ken Takasawa, Katsuji Takeda, Kota Matsui, Masashi Nishino, Tsutomu Hayashi, Yukinori Yamagata, Shigeyuki Matsui, Takaki Yoshikawa, Ryuji Hamamoto:
Establishment of a machine learning model for predicting splenic hilar lymph node metastasis. - Ella Goldschmidt, Ella Rannon, Daniel Bernstein, Asaf Wasserman, Michael Roimi, Anat Shrot, Dan Coster, Ron Shamir:
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection. - Brandon Theodorou, Benjamin P. Danek, Venkat Tummala, Shivam Pankaj Kumar, Bradley A. Malin, Jimeng Sun:
Improving medical machine learning models with generative balancing for equity and excellence. - Paige Nong, Eric Maurer, Roli Dwivedi:
The urgency of centering safety-net organizations in AI governance. - Parmanand Sharma, Naoki Takahashi, Takahiro Ninomiya, Masataka Sato, Takehiro Miya, Satoru Tsuda, Toru Nakazawa:
A hybrid multi model artificial intelligence approach for glaucoma screening using fundus images. - Marieke A. R. Bak, Daan Horbach, Alena Buyx, Stuart McLennan:
A scoping review of ethical aspects of public-private partnerships in digital health. - Yahan Zhou, Chen Chen, Jincao Yao, Jiabin Yu, Bojian Feng, Lin Sui, Yuqi Yan, Xiayi Chen, Yuanzhen Liu, Xiao Zhang, Hui Wang, Qianmeng Pan, Weijie Zou, Qi Zhang, Lu Lin, Chenke Xu, Shengxing Yuan, Qingquan He, Xiaofan Ding, Ping Liang, Vicky Yang Wang, Dong Xu:
A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodules. - Fujiao He, Gang Li, Zhichao Zhang, Chaoran Yang, Zeyu Yang, Hao Ding, Dan Zhao, Wei Sun, Yu Wang, Kaihui Zeng, Xian Li, Mingming Shao, Jiao Yin, Jia Yao, Boxuan Hong, Zhibo Zhang, Zhengwei Yuan, Zongjie Weng, Luyao Zhou, Mo Zhang, Lizhu Chen:
Transfer learning method for prenatal ultrasound diagnosis of biliary atresia. - Gül Erdemli, Tina Murphy, Sarah Walinsky:
Regulatory considerations for successful implementation of digital endpoints in clinical trials for drug development. - Fabio Dennstädt, Janna Hastings, Paul Martin Putora, Max Schmerder, Nikola Cihoric:
Implementing large language models in healthcare while balancing control, collaboration, costs and security. - Andrew Yiu, Kapil Sahnan:
Ecosystems and monopolies in digital surgery. - Feng Gu, Andrew J. Meyer, Filip Jezek, Shuangdi Zhang, Tonimarie Catalan, Alexandria Miller, Noah A. Schenk, Victoria E. Sturgess, Domingo Uceda, Rui Li, Emily Wittrup, Xinwei Hua, Brian E. Carlson, Yi-Da Tang, Farhan Raza, Kayvan Najarian, Scott L. Hummel, Daniel A. Beard:
Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure. - Nicolas Coudray, Michelle C. Juarez, Maressa C. Criscito, Adalberto Claudio Quiros, Reason Wilken, Stephanie R. Jackson Cullison, Mary L. Stevenson, Nicole A. Doudican, Ke Yuan, Jamie D. Aquino, Daniel M. Klufas, Jeffrey P. North, Siegrid S. Yu, Fadi Murad, Emily Ruiz, Chrysalyne D. Schmults, Cristian D. Cardona Machado, Javier Cañueto, Anirudh Choudhary, Alysia N. Hughes, Alyssa Stockard, Zachary Leibovit-Reiben, Aaron R. Mangold, Aristotelis Tsirigos, John A. Carucci:
Self supervised artificial intelligence predicts poor outcome from primary cutaneous squamous cell carcinoma at diagnosis. - Mehak Oberai, Zhiwei Xu, Aaron Bach, Connor Forbes, Ella Jackman, Fergus O'connor, Isabella Ennever, Sebastian Binnewies, Steven Baker, Shannon Rutherford:
A digital heat early warning system for older adults. - Raissa Souza, Emma A. M. Stanley, Anthony J. Winder, Chris Kang, Kimberly Amador, Erik Y. Ohara, Gabrielle Dagasso, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert:
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis. - Benjamin S. C. Wade, Ryan Pindale, James Luccarelli, Shuang Li, Robert C. Meisner, Stephen J. Seiner, Joan A. Camprodon, Michael E. Henry:
Prediction of individual treatment allocation between electroconvulsive therapy or ketamine using the Personalized Advantage Index. - Wenyi Hu, Zhihong Lin, Malcolm Clark, Jacqueline Henwood, Xianwen Shang, Ruiye Chen, Katerina V. Kiburg, Lei Zhang, Zongyuan Ge, Peter van Wijngaarden, Zhuoting Zhu, Mingguang He:
Real-world feasibility, accuracy and acceptability of automated retinal photography and AI-based cardiovascular disease risk assessment in Australian primary care settings: a pragmatic trial. - Sanjiv M. Narayan, Nitin Kohli, Megan M. Martin:
Addressing contemporary threats in anonymised healthcare data using privacy engineering. - Daniel Arruda Navarro Albuquerque, Matheus Trotta Vianna, Luana Alencar Fernandes Sampaio, Andrei Vasiliu, Eduardo Henrique Cunha Neves Filho:
Systematic review and meta-analysis of artificial intelligence in classifying HER2 status in breast cancer immunohistochemistry. - Matrix M. H. Fung, Eric H. M. Tang, Tingting Wu, Yan Luk, Ivan C. H. Au, Xiaodong Liu, Victor H. F. Lee, Chun Ka Wong, Zhili Wei, Wing Yiu Cheng, Isaac C. Y. Tai, Joshua W. K. Ho, Jason W. H. Wong, Brian H. H. Lang, Kathy Leung, Zoie Shui-Yee Wong, Joseph T. Wu, Carlos K. H. Wong:
Developing a named entity framework for thyroid cancer staging and risk level classification using large language models. - Yunsu Byeon, Yae Won Park, Soohyun Lee, Doohyun Park, Hyungseob Shin, Kyunghwa Han, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Sungsoo Ahn, Dosik Hwang:
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas. - Haley Mozier, Philip S. Murphy, Robert L. Janiczek, Mark Morris, Jennifer G. Cox, Hung Nguyen:
A systematic review of digital and imaging technologies for measuring fatigue in immune mediated inflammatory diseases. - Honghao Lai, Jiayi Liu, Chunyang Bai, Hui Liu, Bei Pan, Xufei Luo, Liangying Hou, Weilong Zhao, Danni Xia, Jinhui Tian, Yaolong Chen, Lu Zhang, Janne Estill, Jie Liu, Xing Liao, Nannan Shi, Xin Sun, Hongcai Shang, Zhaoxiang Bian, Kehu Yang, Luqi Huang, Long Ge, Haodong Li, Ye Wang, Huayu Zhang, Di Zhu, Dongrui Peng, Fan Wang, Yueyan Li, Shilin Tang, Hanxiang Liu, Zeming Li, Zhenhua Yang, Xuan Yu, Yishan Qin:
Language models for data extraction and risk of bias assessment in complementary medicine. - Frank E. Rademakers, Elisabetta Biasin, Nico Bruining, Enrico G. Caiani, Rhodri H. Davies, Stephen H. Gilbert, Eric Kamenjasevic, Gearóid McGauran, Gearóid O'Connor, Jean-Baptiste Rouffet, Baptiste Vasey, Alan G. Fraser:
CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software. - Panagiotis Fatouros, Charalampos Tsirmpas, Dimitrios Andrikopoulos, Sharon Kaplow, Konstantinos Kontoangelos, Charalabos Papageorgiou:
Randomized controlled study of a digital data driven intervention for depressive and generalized anxiety symptoms. - Stephen Gilbert, Rasmus Adler, Taras Holoyad, Eva Weicken:
Could transparent model cards with layered accessible information drive trust and safety in health AI? - Zhen Yu, Toàn D. Nguyên, Lie Ju, Yaniv Gal, Maithili Sashindranath, C. Paul Bonnington, Lei Zhang, Victoria Mar, Zongyuan Ge:
Author Correction: Hierarchical skin lesion image classification with prototypical decision tree. - Arjun Mahajan, Dylan Powell:
Generalist medical AI reimbursement challenges and opportunities. - Ravi Shankar, Anjali Bundele, Amartya Mukhopadhyay:
Natural language processing of electronic health records for early detection of cognitive decline: a systematic review. - Ziv Ben-Zion, Kristin Witte, Akshay K. Jagadish, Or Duek, Ilan Harpaz-Rotem, Marie-Christine Khorsandian, Achim Burrer, Erich Seifritz, Philipp Homan, Eric Schulz, Tobias Spiller:
Assessing and alleviating state anxiety in large language models. - Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Kuttichi Keloth, Xinyu Zhou, Lingfei Qian, Huan He, Dennis L. Shung, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian:
Medical foundation large language models for comprehensive text analysis and beyond. - Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, Abhijit Chakraborty, Apostolia M. Tsimberidou:
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology. - Matthias Braun:
How predictive medicine leads to solidarity gaps in health. - Tjardo Daniël Maarseveen, Herman Kasper Glas, Josien Veris-van Dieren, Erik van den Akker, Rachel Knevel:
Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters. - Su Hwan Kim, Severin Schramm, Lisa C. Adams, Rickmer Braren, Keno K. Bressem, Matthias Keicher, Paul-Sören Platzek, Karolin J. Paprottka, Claus Zimmer, Dennis M. Hedderich, Benedikt Wiestler:
Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports. - Mengxia Yu, Hongjia Yang, Haoteng Ye, Shuhuang Lin, Yujie Lu, Haoqiang Deng, Lulu Xu, Yongxin Guo, John S. Ho, Terry Tao Ye:
Smartphone administered pulsed radio frequency energy therapy for expedited cutaneous wound healing. - Ziming Wang, Xinxin Xia, Weijia Lu, Yuguo Ye, Jin Xu:
Assessment of priorities, quality, and inclusivity of digital therapeutics trials in China. - Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton:
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. - Chen Chen, David C. Brown, Noor Al-Hammadi, Sayeh Bayat, Anne Dickerson, Brenda Vrkljan, Matthew Blake, Yiqi Zhu, Jean-François Trani, Eric J. Lenze, David B. Carr, Ganesh M. Babulal:
Identifying major depressive disorder in older adults through naturalistic driving behaviors and machine learning. - Steven Dykstra, Matthew Macdonald, Rhys Beaudry, Dina Labib, Melanie King, Yuanchao Feng, Jacqueline Flewitt, Jeff Bakal, Bing Lee, Stafford Dean, Marina L. Gavrilova, Paul W. M. Fedak, James A. White:
An institutional framework to support ethical fair and equitable artificial intelligence augmented care. - Kenneth A. McLean, Alessandro Sgrò, Leo R. Brown, Louis F. Buijs, Katie E. Mountain, Catherine A. Shaw, Thomas M. Drake, Riinu Pius, Stephen R. Knight, Cameron J. Fairfield, Richard J. E. Skipworth, Sotirios A. Tsaftaris, Stephen J. Wigmore, Mark A. Potter, Matt-Mouley Bouamrane, Ewen M. Harrison, K. Baweja, W. A. Cambridge, V. Chauhan, K. Czyzykowska, M. Edirisooriya, A. Forsyth, B. Fox, J. Fretwell, C. Gent, A. Gherman, L. Green, J. Grewar, S. Heelan, D. Henshall, C. Iiuoma, S. Jayasangaran, C. Johnston, E. Kennedy, D. Kremel, J. Kung, J. Kwong, C. Leavy, J. Liu, S. Mackay, A. Macnamara, S. Mowitt, E. Musenga, N. Ng, Z. H. Ng, S. O'Neill, M. Ramage, J. Reed, A. Riad, C. Scott, V. Sehgal, A. Sgrò, L. Steven, B. Stutchfield, S. Tominey, W. Wilson, M. Wojtowicz, J. Yang:
Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment. - Harrison Trask Crane, John A. Berkebile, Samer Mabrouk, Nicholas Riccardelli, Omer T. Inan:
Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance. - Sushmita Adhikari, Iftikhar Ahmed, Deepak Bajracharya, Bishesh Khanal, Chandrasegarar Solomon, Kapila Jayaratne, Khondaker Abdullah Al Mamum, Muhammad Shamim Hayder Talukder, Sunila Shakya, Suresh Manandhar, Zahid Ali Memon, Moinul Haque Chowdhury, Ihtisham ul Islam, Noor Sabah Rakhshani, M. Imran Khan:
Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia. - Zhiqiang Huo, John Booth, Thomas Monks, Philip Knight, Liam Watson, Mark J. Peters, Christina Pagel, Padmanabhan Ramnarayan, Kezhi Li:
Dynamic mortality prediction in critically Ill children during interhospital transports to PICUs using explainable AI. - Peter C. Nauka, Jason N. Kennedy, Emily B. Brant, Matthieu Komorowski, Romain Pirracchio, Derek C. Angus, Christopher W. Seymour:
Challenges with reinforcement learning model transportability for sepsis treatment in emergency care. - Charles Alba, Bing Xue, Joanna Abraham, Thomas George Kannampallil, Chenyang Lu:
The foundational capabilities of large language models in predicting postoperative risks using clinical notes. - Jacqueline G. You, Tina Hernandez-Boussard, Michael A. Pfeffer, Adam B. Landman, Rebecca Grochow Mishuris:
Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications. - Hanlin Ding, Wenjie Xia, Yujia Zhou, Lei Wei, Yipeng Feng, Zi Wang, Xuming Song, Rutao Li, Qixing Mao, Bing Chen, Hui Wang, Xing Huang, Bin Zhu, Dongyu Jiang, Jingyu Sun, Gaochao Dong, Feng Jiang:
Evaluation and practical application of prompt-driven ChatGPTs for EMR generation. - Julia C. Spinelli, Brandon J. Suleski, Donald E. Wright, Joseph L. Grow, Gabriel R. Fagans, Maura J. Buckley, Da Som Yang, Kaitao Yang, Steven M. Beil, Jessica C. Wallace, Thomas S. Dizoglio, Jeffrey B. Model, Shirley Love, David E. Macintosh, Alan P. Scarth, Matthew T. Marrapode, Corinna Serviente, Raudel Avila, Barrak K. Alahmad, Michael A. Busa, John A. Wright, Weihua Li, Douglas J. Casa, John A. Rogers, Stephen P. Lee, Roozbeh Ghaffari, Alexander J. Aranyosi:
Wearable microfluidic biosensors with haptic feedback for continuous monitoring of hydration biomarkers in workers. - Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt:
Real world federated learning with a knowledge distilled transformer for cardiac CT imaging. - Yuan Luo, Yikuan Li, Omolola Ogunyemi, Eileen Koski, Blanca E. Himes:
Leveraging large language models for academic conference organization. - Peyman Ghasemi, Matthew Greenberg, Danielle A. Southern, Bing Li, James A. White, Joon Lee:
Personalized decision making for coronary artery disease treatment using offline reinforcement learning. - Jee Suk Chang, Hyunwook Kim, Eun Sil Baek, Jeong Eun Choi, Joon Seok Lim, Jin Sung Kim, Sang Joon Shin:
Continuous multimodal data supply chain and expandable clinical decision support for oncology. - Mostafa A. Al-Alusi, Samuel F. Friedman, Shinwan Kany, Joel T. Rämö, Daniel Pipilas, Pulkit Singh, Christopher Reeder, Shaan Khurshid, James P. Pirruccello, Mahnaz Maddah, Jennifer E. Ho, Patrick T. Ellinor:
A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram. - Jiong Shu, Jingyuan Shao, Lingling Liu, Xiang Huang, Yuxiang Mao, Huabao Chen, Xiangli Cui, Bingbing Li, Jie Jia, Zhenle Fei, Zongtao Hu, Xianjun Yang, Yannan Chu, Hongzhi Wang:
A noninvasive realtime body position monitoring system for the entire course of tumor radiotherapy. - Crystal T. Chang, Hodan Farah, Haiwen Gui, Shawheen Justin Rezaei, Charbel Bou-Khalil, Ye-Jean Park, Akshay Swaminathan, Jesutofunmi A. Omiye, Akaash Kolluri, Akash Chaurasia, Alejandro Lozano, Alice Heiman, Allison Sihan Jia, Amit Kaushal, Angela Jia, Angelica Iacovelli, Archer Yang, Arghavan Salles, Arpita Singhal, Balasubramanian Narasimhan, Benjamin Belai, Benjamin H. Jacobson, Binglan Li, Celeste H. Poe, Chandan Sanghera, Chenming Zheng, Conor Messer, Damien Varid Kettud, Deven Pandya, Dhamanpreet Kaur, Diana Hla, Diba Dindoust, Dominik Moehrle, Duncan Ross, Ellaine Chou, Eric Lin, Fateme Nateghi Haredasht, Ge Cheng, Irena Gao, Jacob Chang, Jake Silberg, Jason A. Fries, Jiapeng Xu, Joe Jamison, John S. Tamaresis, Jonathan H. Chen, Joshua Lazaro, Juan M. Banda, Julie J. Lee, Karen Ebert Matthys, Kirsten R. Steffner, Lu Tian, Luca Pegolotti, Malathi Srinivasan, Maniragav Manimaran, Matthew Schwede, Minghe Zhang, Minh Nguyen, Mohsen Fathzadeh, Qian Zhao, Rika Bajra, Rohit Khurana, Ruhana Azam, Rush Bartlett, Sang T. Truong, Scott L. Fleming, Shriti Raj, Solveig Behr, Sonia Onyeka, Sri Muppidi, Tarek Bandali, Tiffany Y. Eulalio, Wenyuan Chen, Xuanyu Zhou, Yanan Ding, Ying Cui, Yuqi Tan, Yutong Liu, Nigam Shah, Roxana Daneshjou:
Red teaming ChatGPT in medicine to yield real-world insights on model behavior. - Michael Winter, Thomas Probst, Thomas Keil, Rüdiger Pryss:
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users. - Fereshteh Hasanzadeh, Colin Bruce Josephson, Gabriella Waters, Demilade Adedinsewo, Zahra Azizi, James A. White:
Bias recognition and mitigation strategies in artificial intelligence healthcare applications. - Yi-han Sheu, Jaak Simm, Bo Wang, Hyunjoon Lee, Jordan W. Smoller:
Continuous time and dynamic suicide attempt risk prediction with neural ordinary differential equations. - Vera Benedetto, Vanessa Mainardi, Francesca Pennucci, Angelo Damone, Gastone Ciuti, Sabina Nuti:
Digital health for environmentally sustainable cancer screening. - Yuxuan Wu, Lixia Shen, Lanqin Zhao, Xiaohong Lin, Miaohong Xu, Zhenjun Tu, Yihong Huang, Lingyi Kong, Zhenzhe Lin, Duoru Lin, Lixue Liu, Xun Wang, Zizheng Cao, Xi Chen, Shengmei Zhou, Weiling Hu, Yunjian Huang, Shiyuan Chen, Meimei Dongye, Xulin Zhang, Dongni Wang, Danli Shi, Zilian Wang, Xiaohang Wu, Dongyu Wang, Haotian Lin:
Noninvasive early prediction of preeclampsia in pregnancy using retinal vascular features. - Mar Santamaria, Yiorgos Christakis, Charmaine Demanuele, Yao Zhang, Pirinka Georgiev Tuttle, Fahimeh Mamashli, Jiawei Bai, Rogier Landman, Kara Chappie, Stefan Kell, John G. Samuelsson, Kisha Talbert, Leonardo Seoane, W. Mark Roberts, Edmond Kato Kabagambe, Joseph Capelouto, Paul W. Wacnik, Jessica Selig, Lukas Adamowicz, Sheraz Khan, Robert J. Mather:
Longitudinal voice monitoring in a decentralized Bring Your Own Device trial for respiratory illness detection. - Xi Chen, Huahui Yi, Mingke You, Weizhi Liu, Li Wang, Hairui Li, Xue Zhang, Yingman Guo, Lei Fan, Gang Chen, Qicheng Lao, Weili Fu, Kang Li, Jian Li:
Enhancing diagnostic capability with multi-agents conversational large language models. - Yuhe Ke, Liyuan Jin, Kabilan Elangovan, Hairil Rizal Abdullah, Nan Liu, Alex Tiong Heng Sia, Chai Rick Soh, Joshua Yi Min Tung, Jasmine Chiat Ling Ong, Chang Fu Kuo, Shao-Chun Wu, Vesela P. Kovacheva, Daniel Shu Wei Ting:
Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness. - Anna M. Marcinkiewicz, Wenhao Zhang, Aakash D. Shanbhag, Robert J. H. Miller, Mark Lemley, Giselle Ramirez, Mikolaj Buchwald, Aditya Killekar, Paul Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, David Ouyang, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction. - Alex J. Goodell, Simon N. Chu, Dara Rouholiman, Larry F. Chu:
Large language model agents can use tools to perform clinical calculations. - Yingrui Ma, Shivprasad Jamdade, Lakshmi Konduri, Heba Sailem:
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology. - Jiaming Cui, Jack Heavey, Eili Y. Klein, Gregory Madden, Costi D. Sifri, Anil Vullikanti, B. Aditya Prakash:
Identifying and forecasting importation and asymptomatic spreaders of multi-drug resistant organisms in hospital settings. - Yishu Wang, Eulalie Courcelles, Emmanuel Peyronnet, Solène Porte, Alizée Diatchenko, Evgueni Jacob, Denis Angoulvant, Pierre Amarenco, Franck Boccara, Bertrand Cariou, Guillaume Mahé, Philippe Gabriel Steg, Alexandre Bastien, Lolita Portal, Jean-Pierre Boissel, Solène Granjeon Noriot, Emmanuelle Bechet:
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy. - Khang Nguyen, Dinh Nguyen, Sinjin Lee, Jin Chang, Yvonne Bach, Kien La, Ferdinand Justus, Tianyuan Shao, Caleb Wang, Mason Kellogg, Raquel Taylor, Alan Evans:
Virtual urgent care in an integrated value based healthcare system. - Masahiro Iwakura, Chihiro Ozeki, Songee Jung, Teiichiro Yamazaki, Takako Miki, Michiko Nohara, Kyoko Nomura:
An umbrella review of efficacy of digital health interventions for workers. - Mehran Turna, Johannes Eckert, Kristina Meier-Böke, Mamaka Narava, Irini Chaliani, Simon B. Eickhoff, Leonhard Schilbach, Juergen Dukart:
Real world evidence for altered communication patterns in individuals with autism spectrum disorder. - Rohan Mathur, Sudha Yellapantula, Lin Cheng, Peter Dziedzic, Niteesh Potu, Eusebia Calvillo, Vishank Shah, Austen Lefebvre, Julian Bosel, Elizabeth K. Zink, Susanne Muehlschlegel, Jose I. Suarez:
Classification of intracranial pressure epochs using a novel machine learning framework. - Julia Palm, Ssuhir Alaid, Danny Ammon, Julian Brandes, Andreas Dürschmid, Claudia Fischer, Jonas Fortmann, Kristin Friebel, Sarah Geihs, Anne-Kathrin Hartig, Donghui He, Andrew J. Heidel, Petra Hetfeld, Roland Ihle, Suzanne Kahle, Verena Koi, Margarethe Konik, Frauke Kretzschmann, Henner M. Kruse, Norman Lippmann, Christoph Lübbert, Gernot Marx, Rafael Mikolajczyk, Anne Mlocek, Stefan Moritz, Christoph Müller, Susanne Müller, Ariadna Pérez Garriga, Lo An Phan-Vogtmann, Diana Pietzner, Mathias W. Pletz, Mario Popp, Maike Rebenstorff, Jonas Renz, Florian Rißner, Rainer Röhrig, Kutaiba Saleh, Sebastian G. Schönherr, Cord Spreckelsen, Anja Stempel, Abel Stolz, Eric Thomas, Susanne Thon, Daniel Tiller, Sebastian Uschmann, Sebastian Wendt, Thomas Wendt, Philipp Winnekens, Oliver Witzke, Stefan Hagel, André Scherag:
Leveraging electronic medical records to evaluate a computerized decision support system for staphylococcus bacteremia. - Luana Colloca, Anna Han, Rachel Massalee, Nandini Raghuraman, Rachel L. Cundiff-O'sullivan, Giancarlo Colloca, Yang Wang:
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study. - Maeghan Orton, Olivia Swann, Gabrielle Samuel, Peter Drury, Dimitrios Kalogeropoulos, David Pencheon, Kristina Celentano, Babajide Babayeju, Liz Grant:
The role of open standards in catalysing knowledge transfer to deliver climate adaptive care. - Marvin Kopka, Niklas von Kalckreuth, Markus A. Feufel:
Accuracy of online symptom assessment applications, large language models, and laypeople for self-triage decisions. - Daniel C. Baumgart, C. Hing Cheng, Tian X. Du, Michael D. Parkes, Daniel C. Sadowski, Eytan Wine, Frank Hoentjen, Brendan P. Halloran, Aldo J. Montaño-Loza, Sergio Zepeda-Gómez, Karen Wong, Farhad Peerani, Randolph Goebel, J. Ross Mitchell:
Network analysis of extraintestinal manifestations and associated autoimmune disorders in Crohn's disease and ulcerative colitis. - Gary E. Weissman, Toni Mankowitz, Genevieve P. Kanter:
Unregulated large language models produce medical device-like output. - Stefanie Brückner, Olamide Sadare, Sabrina Fesl, Madlen Scheibe, Caroline Lang, Stephen Gilbert:
Attitudes of healthcare professionals and researchers toward wearable and app derived patient generated health data. - Stephen Gilbert, Tinglong Dai, Rebecca Mathias:
Consternation as Congress proposal for autonomous prescribing AI coincides with the haphazard cuts at the FDA. - Ben Li, Kimia Heydari, Elizabeth J. Enichen, Joseph C. Kvedar:
A mobile health application that supports a patient centered approach to cardiovascular risk management. - Shaun G. Hong, Sang Mok Park, Semin Kwon, Haripriya Sakthivel, Sreeram P. Nagappa, Jung Woo Leem, Steven R. Steinhubl, Pascal Ngiruwonsanga, Jean-Louis N. Mangara, Célestin Twizere, Young L. Kim:
Smartphone conjunctiva photography for malaria risk stratification in asymptomatic school age children. - Yuval Yaron, Vered Ofen Glassner, Michal Berkenstadt, Nurit Goldstein, Haike Reznik Wolf, Liat Ries Levavi, Liat Abo Gutstein, Yael Furman, Mori Anouchi, Galit Delmar, Doron M. Behar, Elon Pras, Adi Reches, Alina Kurolap, Hagit Baris Feldman:
Evaluation of the digital genetic assistant in technology assisted genetic counseling for genetic carrier screening. - Shiqi Hui, Jing Xie, Li Dong, Li Wei, Weiwei Dai, Dongmei Li:
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images. - Thim Prætorius, Anne Sofie Baymler Lundberg, Eskild Klausen Fredslund, Niklas Blach Rossen, Søren Gregersen, Anders Prior, Esben Søndergaard, Søren Tang Knudsen, Annelli Sandbæk:
Effect of video conferencing between primary and secondary care specialists on type 2 diabetes medication. - Zilong Bai, Mohamed Osman, Matthew Brendel, Catherine M. Tangen, Thomas W. Flaig, Ian M. Thompson, Melissa Plets, M. Scott Lucia, Dan Theodorescu, Daniel Gustafson, Siamak Daneshmand, Joshua J. Meeks, Woonyoung Choi, Colin P. N. Dinney, Olivier Elemento, Seth P. Lerner, David J. McConkey, Bishoy M. Faltas, Fei Wang:
Predicting response to neoadjuvant chemotherapy in muscle-invasive bladder cancer via interpretable multimodal deep learning. - Magdalena Katharina Wekenborg, Stephen Gilbert, Jakob Nikolas Kather:
Examining human-AI interaction in real-world healthcare beyond the laboratory. - Tae Kwan Lee, So Yeon Kim, Hyuk Jin Choi, Eun Kyung Choe, Kyung-Ah Sohn:
Vision transformer based interpretable metabolic syndrome classification using retinal Images. - Jiyeong Kim, Michael L. Chen, Shawheen J. Rezaei, Tina Hernandez-Boussard, Jonathan H. Chen, Fátima Rodriguez, Summer S. Han, Rayhan A. Lal, Sun H. Kim, Chrysoula Dosiou, Susan M. Seav, Tugce Akcan, Carolyn I. Rodriguez, Steven M. Asch, Eleni Linos:
Artificial intelligence tools in supporting healthcare professionals for tailored patient care. - Wei Zhao, Zhihua Huang, Xiaolin Diao, Zhan Yang, Zhihui Zhao, Yun Xia, Qing Zhao, Zhaohong Sun, Qunying Xi, Yanni Huo, Ou Xu, Jiahui Geng, Xin Li, Anqi Duan, Sicheng Zhang, Luyang Gao, Yijia Wang, Sicong Li, Qin Luo, Zhihong Liu:
Development and validation of multimodal deep learning algorithms for detecting pulmonary hypertension. - Hangnyoung Choi, Jaeseong Hong, Hyun Goo Kang, Min-Hyeon Park, Sungji Ha, Junghan Lee, Sangchul Yoon, Daeseong Kim, Yu Rang Park, Keun-Ah Cheon:
Retinal fundus imaging as biomarker for ADHD using machine learning for screening and visual attention stratification. - Vincent X. Liu, Gabriel J. Escobar, Liam D. O'Suilleabhain, Khanh K. Thai, David Schlessinger, Laura C. Myers, John D. Greene, Fernando Barreda, Lawrence Gerstley, Patricia Kipnis:
Prediction of 1 and 2 week nonelective hospitalization and sepsis hospitalization risk in adults. - Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang, Rui Li, Qiuhao Lu, Heather Lyu, Andrew E. Williams, Hongfang Liu:
A scoping review of OMOP CDM adoption for cancer research using real world data. - Ji Woo Hwang, Ga Eun Lee, Jae Hyun Woo, Sung Min Kim, Ji Yean Kwon:
Systematic review and meta-analysis on fully automated digital cognitive behavioral therapy for insomnia. - Zining Luo, Yang Qiao, Xinyu Xu, Xiangyu Li, Mengyan Xiao, Aijia Kang, Dunrui Wang, Yueshan Pang, Xing Xie, Sijun Xie, Dachen Luo, Xuefeng Ding, Zhenglong Liu, Ying Liu, Aimin Hu, Yixing Ren, Jiebin Xie:
Cross sectional pilot study on clinical review generation using large language models. - Yoann Sapanel, L. Martin Cloutier, Gabriel Tremblay, Anh Bourcet, Florian Koerber, David Lariviere, Xavier Tadeo, Dean Ho:
A group concept mapping study of stakeholder perspectives on digital therapeutics economic value drivers. - Songchi Zhou, Ge Song, Haoqi Sun, Deyun Zhang, Yue Leng, M. Brandon Westover, Shenda Hong:
Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health. - Thomas Hartung, Maurice P. Whelan, Weida Tong, Robert M. Califf:
Is regulatory science ready for artificial intelligence? - Mariska van Vliet, Jan J. J. Aalberts, Cora Hamelinck, Arnaud D. Hauer, Dieke Hoftijzer, Stefan H. J. Monnink, Jurjan C. Schipper, Jan C. Constandse, Nicholas S. Peters, Gregory Yoke Hong Lip, Steven R. Steinhubl, Eelko Ronner:
Ambulatory atrial fibrillation detection and quantification by wristworn AI device compared to standard holter monitoring. - Zhe Du, Zhaoyang Liu, Linru Fu, Che Wang, Zhijing Sun, Lan Zhu, Ke Deng:
Interpretable personalized surgical recommendation with joint consideration of multiple decisional dimensions. - Jan-Niklas Eckardt, Ishan Srivastava, Zizhe Wang, Susann Winter, Tim Schmittmann, Sebastian Riechert, Miriam Eva Helena Gediga, Anas Shekh Sulaiman, Martin M. K. Schneider, Freya Schulze, Christian Thiede, Katja Sockel, Frank Kroschinsky, Christoph Röllig, Martin Bornhäuser, Karsten Wendt, Jan Moritz Middeke:
Synthetic bone marrow images augment real samples in developing acute myeloid leukemia microscopy classification models. - Yan Cui:
Digital pathways connecting social and biological factors to health outcomes and equity. - Robin Kraft, Berthold Langguth, Jorge Piano Simões, Manfred Reichert, Winfried Schlee, Rüdiger Pryss:
Global 10 year ecological momentary assessment and mobile sensing study on tinnitus and environmental sounds. - Jasmine Chiat Ling Ong, Michael Hao Chen, Ning Ng, Kabilan Elangovan, Nichole Yue Ting Tan, Liyuan Jin, Qihuang Xie, Daniel Shu Wei Ting, Rosa Rodriguez-Monguio, David W. Bates, Nan Liu:
A scoping review on generative AI and large language models in mitigating medication related harm. - Balu Bhasuran, Qiao Jin, Yuzhang Xie, Carl Yang, Karim Hanna, Jennifer Costa, Cindy Shavor, Wenshan Han, Zhiyong Lu, Zhe He:
Preliminary analysis of the impact of lab results on large language model generated differential diagnoses. - Ximing Zhu, Shihchun Chu, Jie Fu, Siyu Ao, Tingting Liu, Ziming Liao, Jiamei Song, Yuhong Wang, Yanping Guo, Qinghong Song, Pengfei Liu, Shuang Li, Bing Chen, Bin Yao:
A clinically interpretable model derived from skin conductance for assessing microangiopathy of the skin surface. - Chengyue Wu, Ernesto A. B. F. Lima, Casey E. Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov:
MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens. - Tzu-Hsi Song, Leonardo Clemente, Xiang Pan, Junbong Jang, Mauricio Santillana, Kwonmoo Lee:
Fine-grained forecasting of COVID-19 trends at the county level in the United States. - Rashmie Abeysinghe, Shiqiang Tao, Samden D. Lhatoo, Guoqiang Zhang, Licong Cui:
Leveraging pretrained language models for seizure frequency extraction from epilepsy evaluation reports. - Marcos Fernández-Pichel, Juan Carlos Pichel, David E. Losada:
Evaluating search engines and large language models for answering health questions. - Seo Yi Chng, Mark Jun Wen Tern, Yung Seng Lee, Lionel Tim-Ee Cheng, Jeevesh Kapur, Johan Gunnar Eriksson, Yap-Seng Chong, Julian Savulescu:
Ethical considerations in AI for child health and recommendations for child-centered medical AI. - Katharina Ledebur, Marc Wiedermann, Christian Puta, Stefan Thurner, Peter Klimek, Dirk Brockmann:
Wearable data reveals distinct characteristics of individuals with persistent symptoms after a SARS-CoV-2 infection. - Bing Li, Yan-Yun Du, Wei-Min Tan, Dong-Li He, Zhi-Peng Qi, Hon-Ho Yu, Qiang Shi, Zhong Ren, Ming-Yan Cai, Bo Yan, Shi-Lun Cai, Yun-Shi Zhong:
Effect of computer aided detection system on esophageal neoplasm diagnosis in varied levels of endoscopists. - Arjun Mahajan, Kimia Heydari, Dylan Powell:
Wearable AI to enhance patient safety and clinical decision-making. - Hirotaka Takita, Daijiro Kabata, Shannon Leigh Walston, Hiroyuki Tatekawa, Kenichi Saito, Yasushi Tsujimoto, Yukio Miki, Daiju Ueda:
A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians. - Fukushi Morishita, Wei Su, James Kelley, Kiyohiko Izumi, Kalpeshsinh Rahevar, Kazim Hizbullah Sanikullah, Kyung Hyun Oh, Zoie Shui Yee Wong, Rajendra Prasad Yadav, Thi Huong Giang Tran:
Reaching the unreached through an integrated communicable disease dashboard. - Zichen Wang, Wen Wang, Che Sun, Jili Li, Shuangyi Xie, Jiayue Xu, Kang Zou, Yinghui Jin, Siyu Yan, Xuelian Liao, Yan Kang, Craig M. Coopersmith, Xin Sun:
A methodological systematic review of validation and performance of sepsis real-time prediction models. - Yingbo Zhang, Jiao Wang, Hui Zong, Rajeev K. Singla, Amin Ullah, Xingyun Liu, Rongrong Wu, Shumin Ren, Bairong Shen:
The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact. - Nandhini Santhanam, Hee E. Kim, David Rügamer, Andreas Bender, Stefan Muthers, Chang Gyu Cho, Angelika Alonso, Kristina Szabo, Franz-Simon Centner, Holger Wenz, Thomas Ganslandt, Michael Platten, Christoph Groden, Michael Neumaier, Fabian Siegel, Máté E. Maros:
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data. - Hyunjae Kim, Hyeon Hwang, Jiwoo Lee, Sihyeon Park, Dain Kim, Taewhoo Lee, Chanwoong Yoon, Jiwoong Sohn, Jungwoo Park, Olga Reykhart, Thomas Fetherston, Donghee Choi, Soo Heon Kwak, Qingyu Chen, Jaewoo Kang:
Small language models learn enhanced reasoning skills from medical textbooks. - Antonis A. Armoundas, Joseph Loscalzo:
Patient agency and large language models in worldwide encoding of equity. - George S. Liu, Soraya Fereydooni, Melissa Chaehyun Lee, Srinidhi Polkampally, Jeffrey Huynh, Sravya Kuchibhotla, Mihir M. Shah, Noel F. Ayoub, Robson Capasso, Michael T. Chang, Philip C. Doyle, F. Christopher Holsinger, Zara M. Patel, Jon-Paul Pepper, C. Kwang Sung, Francis X. Creighton, Nikolas H. Blevins, Konstantina M. Stankovic:
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery. - Debjyoti Karmakar, Lochana Mendis, Emerson Keenan, Marimuthu Palaniswami, Roxanne Hastie, Enes Makalic, Fiona C. Brownfoot:
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis. - Liangliang Xiang, Yaodong Gu, Kaili Deng, Zixiang Gao, Vickie B. Shim, Alan Wang, Justin Fernandez:
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners. - Young Il Kim, In Ja Park, Jun-Soo Ro, Jong Lyul Lee, Chan Wook Kim, Yong Sik Yoon, Seok-Byung Lim, Chang Sik Yu, Yura Lee, Yae Won Tak, Seockhoon Chung, Kyung Won Kim, Yousun Ko, Sung-Cheol Yun, Min-Woo Jo, Jong Won Lee:
A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer. - Yosra Magdi Mekki, Gijs Luijten, Elisabet Hagert, Sirajeddin Belkhair, Chris Varghese, Junaid Qadir, Barry Solaiman, Muhammad Bilal, Jaghtar Dhanda, Jan Egger, Jun Deng, Vikas Khanduja, Alejandro F. Frangi, Susu M. Zughaier, Mitchell A. Stotland:
Digital twins for the era of personalized surgery. - Jiho Lee, Junseung Mun, Minhye Choo, Sung-Min Park:
Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem. - Bruno Kusznir Vitturi, Patrik Theodor Nerdal, Walter Maetzler:
Collection of the digital data from the neurological examination. - Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, Qingpeng Kong, Jianrui Ding, Chunping Ning, S. Kevin Zhou:
Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings. - Sarah E. Polk, Fredrik Öhman, Jason Hassenstab, Alexandra König, Kathryn V. Papp, Michael Schöll, David Berron:
A scoping review of remote and unsupervised digital cognitive assessments in preclinical Alzheimer's disease. - Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar, Hang Zhang, Eugene Mathew Sadhu, Zhuochun Li, Xizhi Wu, Shyam Visweswaran, Yanshan Wang:
Mitigating the risk of health inequity exacerbated by large language models. - Riddhi S. Gupta, Carolyn E. Wood, Teyl Engstrom, Jason D. Pole, Sally Shrapnel:
A systematic review of quantum machine learning for digital health. - Thierry Meurers, Karen Otte, Hammam Abu Attieh, Farah Briki, Jérémie Despraz, Mehmed Halilovic, Bayrem Kaabachi, Vladimir Milicevic, Armin Müller, Grigorios Papapostolou, Felix Nikolaus Wirth, Jean Louis Raisaro, Fabian Prasser:
A quantitative analysis of the use of anonymization in biomedical research. - Sunho Park, Morgan F. Pettigrew, Yoon Jin Cha, In-Ho Kim, Minji Kim, Imon Banerjee, Isabel Barnfather, Jean R. Clemenceau, Inyeop Jang, Hyunki Kim, Younghoon Kim, Rish K. Pai, Jeong Hwan Park, N. Jewel Samadder, Kyo Young Song, Ji-Youn Sung, Jae-Ho Cheong, Jeonghyun Kang, Sung Hak Lee, Sam C. Wang, TaeHyun Hwang:
Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology. - Avisha Das, Ish A. Talati, Juan Manuel Zambrano Chaves, Daniel L. Rubin, Imon Banerjee:
Weakly supervised language models for automated extraction of critical findings from radiology reports. - Micaela Elisa Consens, Ben Li, Anna R. Poetsch, Stephen Gilbert:
Genomic language models could transform medicine but not yet. - Sushmita Adhikari, Iftikhar Ahmed, Deepak Bajracharya, Bishesh Khanal, Chandrasegarar Solomon, Kapila Jayaratne, Khondaker Abdullah Al Mamum, Muhammad Shamim Hayder Talukder, Sunila Shakya, Suresh Manandhar, Zahid Ali Memon, Moinul Haque Chowdhury, Ihtesham Ul Islam, Noor Sabah Rakhshani, M. Imran Khan:
Author Correction: Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia. - Yunxi Zhang, Lincy S. Lal, Saurabh Chandra, John Michael Swint:
Primary care telehealth in a dynamic healthcare environment from digital divide to healthcare outcomes. - Roberto Vega, Masood Dehghan, Arun Nagdev, Brian Buchanan, Jeevesh Kapur, Jacob L. Jaremko, Dornoosh Zonoobi:
Overcoming barriers in the use of artificial intelligence in point of care ultrasound. - Vijaytha Muralidharan, Madelena Y. Ng, Shada Alsalamah, Sameer Pujari, Kanika Kalra, Rajeshwari Singh, Denise Schalet, Tobi Olantuji, Rohit Malpani, Rubeta N. Matin, Jesutofunmi A. Omiye, Yu Zhao, Anita Sands, Andreas Reis, Jose Eduardo Diaz Mendoza, Tina Hernandez-Boussard, Roxana Daneshjou, Alain B. Labrique:
Global Initiative on AI for Health (GI-AI4H): strategic priorities advancing governance across the United Nations. - Shurui Wang, Xinyi Liu, Shaohua Yuan, Yi Bian, Hong Wu, Qing Ye:
Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study. - Laura Brandt, Larry Au, Clinton Castro, Gabriel J. Odom:
Engaging an advisory board in discussions about the ethical relevance of algorithmic bias and fairness. - Stephen Obadinma, Alia Lachana, Maia Leigh Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi:
The FAIIR conversational AI agent assistant for youth mental health service provision. - Junbok Lee, Jung Hyun Kim, Mingee Choi, Jaeyong Shin:
A choice based conjoint analysis of mobile healthcare application preferences among physicians, patients, and individuals. - Lei Zhang, Xiaoran Li, Wen Chen, Yuanjie Gu, Hao Wu, Zhong Lu, Biqin Dong:
A joint learning approach for automated diagnosis of keratinocyte carcinoma using optical attenuation coefficients. - Tej D. Azad, Anmol Warman, Deven McGraw, Suchi Saria:
Lessons from Henrietta Lacks inform a transparency framework to catalyze generative artificial intelligence in medicine. - David L. B. Schwappach, Wolf Hautz, Gert Krummrey, Yvonne Pfeiffer, Raj M. Ratwani:
EMR usability and patient safety: a national survey of physicians. - Elizabeth Geena Woo, Michael C. Burkhart, Emily Alsentzer, Brett K. Beaulieu-Jones:
Synthetic data distillation enables the extraction of clinical information at scale. - Brenda Y. Miao, Christopher Y. K. Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen:
Understanding contraceptive switching rationales from real world clinical notes using large language models. - Itsuki Kitayama, Kiyohito Hosokawa, Shinobu Iwaki, Misao Yoshida, Akira Miyauchi, Kenji Aruga, Takanari Kawabe, Toshihiro Kishikawa, Hidenori Tanaka, Takeshi Tsuda, Takashi Sato, Yukinori Takenaka, Makoto Ogawa, Hidenori Inohara:
A multivariate model incorporating subharmonic measurements for evaluating vocal roughness. - Ashley C. Griffin, Meagan F. Moyer, Arash Anoshiravani, Sondra Hornsey, Christopher D. Sharp:
A sociotechnical approach to defining clinical responsibilities for patient-generated health data. - Vipina Kuttichi Keloth, Salih Selek, Qingyu Chen, Christopher Gilman, Sunyang Fu, Yifang Dang, Xinghan Chen, Xinyue Hu, Yujia Zhou, Huan He, Jungwei W. Fan, Karen Wang, Cynthia Brandt, Cui Tao, Hongfang Liu, Hua Xu:
Social determinants of health extraction from clinical notes across institutions using large language models. - Haiko Schurz, Klara Solander, Davida Åström, Fernando Cossío, Taeyang Choi, Magnus Dustler, Claes Lundström, Håkan Gustafsson, Sophia Zackrisson, Fredrik Strand:
Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study. - Andreea Bodnari, John Travis:
Scaling enterprise AI in healthcare: the role of governance in risk mitigation frameworks. - David Chen, Kabir Chauhan, Rod Parsa, Zhihui Amy Liu, Fei-Fei Liu, Ernie Mak, Lawson Eng, Breffni Louise Hannon, Jennifer Croke, Andrew Hope, Nazanin Fallah-Rad, Phillip Wong, Srinivas Raman:
Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer. - Akshai P. Sreenivasan, Aina Vaivade, Yassine Noui, Payam Emami Khoonsari, Joachim Burman, Ola Spjuth, Kim Kultima:
Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis. - Ben Li, Elizabeth J. Enichen, Kimia Heydari, Joseph C. Kvedar:
Artificial intelligence guided imaging as a tool to fill gaps in health care delivery. - Arya Rao, John Kim, Andrew Mu, Cameron C. Young, Ezra Kalmowitz, Michael Senter-Zapata, David C. Whitehead, Lilit Garibyan, Adam B. Landman, Marc D. Succi:
Synthetic medical education in dermatology leveraging generative artificial intelligence. - Jile Shi, Ruohan Cui, Zhihong Wang, Qi Yan, Lu Ping, Hu Zhou, Junyi Gao, Chihua Fang, Xianlin Han, Surong Hua, Wenming Wu:
Deep learning HRNet FCN for blood vessel identification in laparoscopic pancreatic surgery. - Nour Alkhoury, Maqsood Shaik, Ricardo Wurmus, Altuna Akalin:
Enhancing biomarker based oncology trial matching using large language models. - Neil F. Abernethy, Kylie McCloskey, Meg Trahey, Laurie Rinn, Gail Broder, Michele Andrasik, Rebecca Laborde, Daniel McGhan, Scott Spendolini, Senthil Marimuthu, Adam Kanzmeier, Jayson Hanes, James G. Kublin:
Rapid development of a registry to accelerate COVID-19 vaccine clinical trials. - Chiara Carboni, Celia Brightwell, Orit Halpern, Oscar Freyer, Stephen Gilbert:
Reconciling security and care in digital medicine. - Michele Merler, Carla Agurto, Julian Peller, Esteban Roitberg, Alan Taitz, Marcos A. Trevisan, Indu Navar, James D. Berry, Ernest Fraenkel, Lyle W. Ostrow, Guillermo A. Cecchi, Raquel Norel:
Clinical assessment and interpretation of dysarthria in ALS using attention based deep learning AI models. - Kensuke Sakata, Carolyna A. P. Yamamoto, Adityo Prakosa, Brock Tice, Syed Yusuf Ali, Shane E. Loeffler, Eugene G. Kholmovski, Sunil Kumar Sinha, Joseph E. Marine, Hugh Calkins, David D. Spragg, Natalia A. Trayanova:
Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage. - Elham Asgari, Nina Montaña Brown, Magda Dubois, Saleh Khalil, Jasmine Balloch, Joshua Au Yeung, Dominic Pimenta:
A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation. - Ben Li, Arjun Mahajan, Dylan Powell:
Advancing perioperative care with digital applications and wearables. - Daniel Kwaro, Stefan Mendt, Julius Okoth, Stephen Munga, Hanns-Christian Gunga, Zoë Hannah Heim, Ina Matzke, Aditi Bunker, Sandra Barteit, Martina A. Maggioni:
Acceptability and feasibility of research grade wearables for monitoring heat stress in Kenyan farmers. - Jacqueline M. Beltrán, Yael Jacob, Marishka Mehta, Tasnim Hossain, Abigail Adams, Samantha Fontaine, John Torous, Catherine McDonough, Matthew Johnson, Andrew D. Delgado, James W. Murrough, Laurel S. Morris:
Digital measures of activity and motivation impact depression and anxiety in the real world. - Alifia Hasan, Noah Prizant, Jee Young Kim, Shreya Rao, David E. Vidal, Keo Shaw, Danny Tobey, Alexandra Valladares, Shira Zilberstein, Manesh Patel, Suresh Balu, Mark P. Sendak, Mark Lifson:
Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape. - He Zhu, Jun Bai, Na Li, Xiaoxiao Li, Dianbo Liu, David L. Buckeridge, Yue Li:
FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting. - Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John B. Torous:
A scoping review of large language models for generative tasks in mental health care. - Jürgen Barth, Sonja Schläpfer, Fabian Schneider, Prabhakaran Santhanam, Tobias Kowatsch, Priska Heinz, Ulrike Held, Manuela Eicher, Claudia M. Witt:
Mobile health intervention CanRelax reduces distress in people with cancer in a randomized controlled trial. - Fleur E. Marijnissen, Elyse E. C. Rijnders, Merel M. Tielemans, Désiree van Noord, Leonieke M. M. Wolters, Jeroen M. Jansen, Ingrid Schot, Frank C. Bekkering, Agnes N. Reijm, Sophia M. van Baalen, Tingting Wang, Marijke Melles, Richard H. M. Goossens, Sohal Y. Ismail, Iris Lansdorp-Vogelaar, Pieter Jan F. de Jonge, Manon C. W. Spaander:
Reducing outpatient visits for FIT-positive participants of colorectal cancer screening programs with home-based digital counselling. - Neslihan Dilruba Koseoglu, Eric Chen, Rudraksh Tuwani, Benjamin Kompa, Stephanie M. Cox, M. Cuneyt Ozmen, Mina Massaro-Giordano, Andrew L. Beam, Pedram Hamrah:
Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy. - Joshua M. Biro, Jessica L. Handley, J. Malcolm McCurry, Adam Visconti, Jeffrey Weinfeld, J. Gregory Trafton, Raj M. Ratwani:
Opportunities and risks of artificial intelligence in patient portal messaging in primary care. - Jung-Oh Lee, Hong-Yu Zhou, Tyler M. Berzin, Daniel K. Sodickson, Pranav Rajpurkar:
Multimodal generative AI for interpreting 3D medical images and videos. - Ali Rahimpour Jounghani, Anupam Kumar, Laura Moreno Carbonell, Ester Patrize Lopez Aguilar, Tulla Bee Picardi, Seth Crawford, Audrey K. Bowden, S. M. Hadi Hosseini:
Wearable fNIRS platform for dense sampling and precision functional neuroimaging. - Debjyoti Karmakar, Tarini Paul, Emerson Keenan, Marimuthu Palaniswami, Kaitlin Constable, Erica Spessot, Fiona C. Brownfoot:
Consumer insights from a feasibility study on remote and extended use of a novel non-invasive wearable fetal electrocardiogram monitor. - Qianying Wang, Xiqian Huo, Jianlan Cui, Jie Li, Xueke Bai, Chaoqun Wu, Qian Zhang, Dianjianyi Sun, Jie Zhao:
Systematic evaluation of patient-reported outcomes in clinical trials of digital health in cardiovascular diseases. - Katherine Edgley, Philippa T. K. Saunders, Lucy H. R. Whitaker, Andrew W. Horne, Athanasios Tsanas:
Insights into endometriosis symptom trajectories and assessment of surgical intervention outcomes using longitudinal actigraphy. - Jincao Yao, Yunpeng Wang, Zhikai Lei, Kai Wang, Na Feng, Fajin Dong, Jianhua Zhou, Xiaoxian Li, Xiang Hao, Jiafei Shen, Shanshan Zhao, Yuan Gao, Vicky Yang Wang, Di Ou, Wei Li, Yidan Lu, Liyu Chen, Chen Yang, Liping Wang, Bojian Feng, Yahan Zhou, Chen Chen, Yuqi Yan, Zhengping Wang, Rongrong Ru, Yaqing Chen, Yanming Zhang, Ping Liang, Dong Xu:
Multimodal GPT model for assisting thyroid nodule diagnosis and management. - Giuseppe Biondi-Zoccai, Arjun Mahajan, Dylan Powell, Mariangela Peruzzi, Roberto Carnevale, Giacomo Frati:
Advancing cardiovascular care through actionable AI innovation. - Maximilian Ferle, Nora Grieb, Markus Kreuz, Jonas Ader, Hartmut Goldschmidt, Elias K. Mai, Uta Bertsch, Uwe Platzbecker, Thomas Neumuth, Kristin Reiche, Alexander Oeser, Maximilian Merz:
Predicting progression events in multiple myeloma from routine blood work. - Krzysztof Bronowicki, Justyna Antoniuk-Majchrzak, Iwona Malesza, Wiktor Mozarowski, Agnieszka Szymborska, Bartosz Pachuta, Tomasz Walenta, Wojciech Jasica, Maciej Stanuch, Andrzej Skalski, Anna Raciborska:
An attempt to evaluate the use of mixed reality in surgically treated pediatric oncology patients. - Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Leveraging long context in retrieval augmented language models for medical question answering. - Lisa Moseley, Anna Laws, Michael Allen, Gary A. Ford, Martin James, Stephen McCarthy, Graham McClelland, Laura J. Park, Kerry Pearn, Daniel Phillips, Christopher Price, Lisa Shaw, Phil White, David Wilson, Peter McMeekin, Jason Scott:
Usability testing a web application to support evidence-based commissioning decisions for implementing mobile stroke units. - Yushen Dai, Jiaying Li, Yan Li, Frances Kam Yuet Wong, Mengqi Li, Chen Li, Ye Jia, Yueying Wang, Janelle Yorke:
A scoping review on the role of virtual walking intervention in enhancing wellness. - Daniel C. Baumgart, Joseph C. Kvedar:
Germany and Europe lead digital innovation and AI with collaborative health data use at continental level. - Lee Valentine, Jordan D. X. Hinton, Kriti Bajaj, Larissa Boyd, Shaunagh O'sullivan, Rory P. Sorenson, Imogen H. Bell, Miguel Sobredo Vega, Ping Liu, Wilma Peters, Shaminka N. Mangelsdorf, Thomas W. Wren, Carl Moller, Shane Cross, Carla McEnery, Sarah Bendall, Jennifer Nicholas, Mario Alvarez-Jimenez:
A meta-analysis of persuasive design, engagement, and efficacy in 92 RCTs of mental health apps. - Zixuan Hu, Hui-Ming Lin, Shobhit Mathur, Robert Moreland, Christopher D. Witiw, Laura Jimenez-Juan, Matias F. Callejas, Djeven P. Deva, Ervin Sejdic, Errol Colak:
High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis. - Florian Borchert, Paul Wullenweber, Annika Oeser, Nina Kreuzberger, Torsten Karge, Thomas Langer, Nicole Skoetz, Lothar H. Wieler, Matthieu-P. Schapranow, Bert Arnrich:
High-precision information retrieval for rapid clinical guideline updates. - Kei Sano, Kota Fukai, Ryo Terauchi, Yuko Furuya, Shoko Nakazawa, Kosuke Sakai, Toru Honda, Yuya Watanabe, Takeshi Hayashi, Toru Nakagawa, Tadashi Nakano, Masayuki Tatemichi:
Latent retinal structural patterns with aging. - Jacob Rosenthal, Ashley Beecy, Mert R. Sabuncu:
Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems. - Joeran S. Bosma, Koen Dercksen, Luc Builtjes, Romain André, Christian Roest, Stefan J. Fransen, Constant R. Noordman, Mar Navarro-Padilla, Judith Lefkes, Natália Alves, Max J. J. de Grauw, Leander van Eekelen, Joey Spronck, Megan Schuurmans, Bram de Wilde, Ward Hendrix, Witali Aswolinskiy, Anindo Saha, Jasper J. Twilt, Daan Geijs, Jeroen Veltman, Derya Yakar, Maarten de Rooij, Francesco Ciompi, Alessa Hering, Jeroen Geerdink, Henkjan Huisman, Quintin van Lohuizen, Michelle Stegeman, Karlijn Rutten, Inge M. E. Smit, Gijs Stultiens, Christiaan G. Overduin, M. J. C. M. Rutten, Ernst Th. Scholten, Rachel S. van der Post, Katrien Grunberg, Shoko Vos, Elise M. G. Taken, Iris D. Nagtegaal, Anne Mickan, Miriam Groeneveld, Paul K. Gerke, James A. Meakin, Monika Looijen-Salamon, Tijmen L. M. de Haas, Fabian Hoitsma, Marina D'Amato:
The DRAGON benchmark for clinical NLP. - Supreeth P. Shashikumar, Sina Mohammadi, Rishivardhan Krishnamoorthy, Avi Patel, Gabriel Wardi, Joseph C. Ahn, Karandeep Singh, Eliah Aronoff Spencer, Shamim Nemati:
Development and prospective implementation of a large language model based system for early sepsis prediction. - Farieda Gaber, Maqsood Shaik, Fabio Allega, Agnes Julia Bilecz, Felix Busch, Kelsey Goon, Vedran Franke, Altuna Akalin:
Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis. - Boris P. Kovatchev, Patricio Colmegna, Jacopo Pavan, Jenny Lorena Diaz Castañeda, María F. Villa-Tamayo, Chaitanya L. K. Koravi, Giulio Santini, Carlene Alix, Meaghan Stumpf, Sue A. Brown:
Human-machine co-adaptation to automated insulin delivery: a randomised clinical trial using digital twin technology. - Mauro Giuffrè, Kisung You, Ziteng Pang, Simone Kresevic, Sunny Chung, Ryan Chen, Youngmin Ko, Colleen E. Chan, Theo Saarinen, Milos Ajcevic, Lory S. Crocè, Guadalupe Garcia-Tsao, Ian Gralnek, Joseph J. Y. Sung, Alan Barkun, Loren Laine, Jasjeet S. Sekhon, Bradly C. Stadie, Dennis L. Shung:
Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology. - Mohammad Loni, Fatemeh Poursalim, Mehdi Asadi, Arash Gharehbaghi:
A review on generative AI models for synthetic medical text, time series, and longitudinal data. - Delaney A. Smith, Adam Lavertu, Aadesh Salecha, Tymor Hamamsy, Keith Humphreys, Anna Lembke, Mathew V. Kiang, Russ B. Altman, Johannes C. Eichstaedt:
Monitoring the opioid epidemic via social media discussions. - Nicholas Ravanelli, Karlee Lefebvre, Adèle Mornas, Daniel Gagnon:
Evaluating compliance with HeatSuite for monitoring in situ physiological and perceptual responses and personal environmental exposure. - Vasileios Skaramagkas, Iro Boura, Georgios Karamanis, Ioannis Kyprakis, Dimitrios I. Fotiadis, Zinovia Kefalopoulou, Cleanthe Spanaki, Manolis Tsiknakis:
Dual stream transformer for medication state classification in Parkinson's disease patients using facial videos. - Ethan Phillips, Odhran O'donoghue, Yumeng Zhang, Panos Tsimpos, Leigh Ann Mallinger, Stefanos Chatzidakis, Jack Pohlmann, Yili Du, Ivy Kim, Jonathan Song, Benjamin Brush, Stelios Smirnakis, Charlene J. Ong, Agni Orfanoudaki:
Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke. - Felix G. Rebitschek, Alessandra Carella, Silja Kohlrausch-Pazin, Michael Zitzmann, Anke Steckelberg, Christoph Wilhelm:
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information. - Tamar Gilad, Avigail Lithwick Algon, Eli Vakil, Sabaa Kitany, Raghad Gharra, Reem Higaze, Victoria M. Leavitt, William Saban:
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations. - Ruby Kim, Yu Fang, Minki Lee, Dae Wook Kim, Zhengxu Tang, Srijan Sen, Daniel B. Forger:
Seasonal timing and interindividual differences in shiftwork adaptation. - Michael Tran, Chinthaka Balasooriya, Jitendra Jonnagaddala, Gilberto Ka-Kit Leung, Neeraj Mahboobani, Subha Ramani, Joel Rhee, Lambert Schuwirth, Neysan Sedaghat Najafzadeh-Tabrizi, Carolyn Semmler, Zoie Sy Wong:
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education. - Victor A. Borza, Qingxia Chen, Ellen Wright Clayton, Murat Kantarcioglu, Lina Sulieman, Yevgeniy Vorobeychik, Bradley A. Malin:
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program. - Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin, Sonja Mathes, Tobias Dreyer, Luise Modersohn, Patrick Metzger, Dyke Ferber, Jakob Nikolas Kather, Daniel Truhn, Lisa Christine Adams, Keno K. Bressem, Sebastian Lange, Kristina Schwamborn, Martin Boeker, Marion Kiechle, Ulrich A. Schatz, Holger Bronger, Maximilian Tschochohei:
Large language models-enabled digital twins for precision medicine in rare gynecological tumors. - Dylan Powell, Stephanie A. Adams, Donncha Mullin, Miles Welstead, John E. Harrison, Craig Ritchie:
Exploring the potential of digital biomarkers as a measure of brain health 'capital'. - Abel Díaz Berenguer, Matías Nicolás Bossa, Julien Lebleu, Andries Pauwels, Hichem Sahli:
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty. - Ningzhe Zhu, Anjali Sarawgi, Markus Bühner, Harald Baumeister, Patricia Garatva, Thomas Ehring, Yannik Terhorst:
The relation between passively collected data and PTSD: a systematic review and meta-analysis. - Jin-Xin Lai, Jia-Wei Tang, Shan-Shan Gong, Ming-Xiong Qin, Yu-Lu Zhang, Quan-Fa Liang, Li-Yan Li, Zhen Cai, Liang Wang:
Development and validation of an interpretable risk prediction model for the early classification of thalassemia. - Jiayi Dai, Mi-Young Kim, Reed T. Sutton, J. Ross Mitchell, Randolph Goebel, Daniel C. Baumgart:
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn's disease patients. - Hanpei Miao, Sian Liu, Zehua Wang, Yu Ke, Linling Cheng, Wenyao Yu, Dihui Yu, Kang Zhang, Yuanxu Gao, Zhuo Sun:
Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women. - Haoyang Li, Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen, Fei Wang:
Federated target trial emulation using distributed observational data for treatment effect estimation. - Ping-Hsuan Hsieh, Chin Lin, Chin-Sheng Lin, Wei-Ting Liu, Tsung-Kun Lin, Dung-Jang Tsai, Yi-Jen Hung, Yuan-Hao Chen, Chih-Yuan Lin, Shih-Hua Lin, Chien-Sung Tsai:
Economic analysis of an AI-enabled ECG alert system: impact on mortality outcomes from a pragmatic randomized trial. - Heyjun Park, Ahmed A. Metwally, Alireza Delfarah, Yue Wu, Dalia Perelman, Caleb Mayer, Curtis McGinity, Majid Rodgar, Alessandra Celli, Tracey McLaughlin, Emmanuel Mignot, Michael Snyder:
High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes. - Merav Catalogna, Nira Saporta, Bar Nathansohn-Levi, Tal Tamir, Ariel Shahaf, Shira Molcho, Shai Erlich, Shahar Shelly, Amir Amedi:
Mobile application leads to psychological improvement and correlated neuroimmune function change in subjective cognitive decline. - Wenhao Qi, Xiaohong Zhu, Bin Wang, Yankai Shi, Chaoqun Dong, Shiying Shen, Jiaqi Li, Kun Zhang, Yunfan He, Mengjiao Zhao, Shiyan Yao, Yongze Dong, Huajuan Shen, Junling Kang, Xiaodong Lu, Guowei Jiang, Lizzy M. M. Boots, Heming Fu, Li Pan, Hongkai Chen, Zhenyu Yan, Guoliang Xing, Shihua Cao:
Alzheimer's disease digital biomarkers multidimensional landscape and AI model scoping review. - Eric Pei Ping Pang, Hong Qi Tan, Fuqiang Wang, Jarkko Niemelä, Gregory Bolard, Susan Ramadan, Timo Kiljunen, Marta E. Capala, Steven F. Petit, Jane Seppälä, Kristiina Vuolukka, Ingrid Kiitam, Danil Zolotuhhin, Eduard Gershkevitsh, Kaisa Lehtiö, Juha Nikkinen, Jani Keyriläinen, Miia Mokka, Melvin Lee Kiang Chua:
Multicentre evaluation of deep learning CT autosegmentation of the head and neck region for radiotherapy. - Hyunjae Kim, Hyeon Hwang, Jiwoo Lee, Sihyeon Park, Dain Kim, Taewhoo Lee, Chanwoong Yoon, Jiwoong Sohn, Jungwoo Park, Olga Reykhart, Thomas Fetherston, Donghee Choi, Soo Heon Kwak, Qingyu Chen, Jaewoo Kang:
Author Correction: Small language models learn enhanced reasoning skills from medical textbooks. - Ibukun-Oluwa Omolade Abejirinde, Vanessa Kishimoto, Kaylen J. Pfisterer, Nishath Uddin, Katherine McGuire, Janette Brual, Kaitlyn Merriman, Payal Agarwal, Jeanette Smith, Myrtede Alfred, Michele Strom, Quynh Pham:
An equity analysis of remote patient monitoring programs unveils assumptions on digital health equity. - Pascal Biermann, Claas Baier, Ann Christin Vietor, Benedikt Zacher, Tom Baumgartl, Tatiana von Landesberger, Michael Behnke, Michael Storck, Markus Petzold, Martin Kaase, Sarah Ballout, Tim Eckmanns, Petra Gastmeier, Julian Varghese, Vanessa Eichel, Nicolás Reinoso-Schiller, Sabine Hanß, Tibor Kesztyüs, Alexander Dalpke, Maximilian Klass, Angela Merzweiler, Jennifer Daniela Elke Hoos, Peter Brunnecker, Alexander Mellmann, Hauke Tönnies, Cora Drenkhahn, Benjamin Gebel, Joshua Wiedekopf, Dirk Schlüter, Michael Marschollek, Simone Scheithauer, Antje Wulff:
An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts. - Ruxian Tian, Feng Hou, Haicheng Zhang, Guohua Yu, Ping Yang, Jiaxuan Li, Ting Yuan, Xi Chen, Ying Chen, Yan Hao, Yisong Yao, Hongfei Zhao, Pengyi Yu, Han Fang, Liling Song, Anning Li, Zhonglu Liu, Huaiqing Lv, Dexin Yu, Hongxia Cheng, Ning Mao, Xicheng Song:
Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma. - Emily Alsentzer, Michelle M. Li, Shilpa N. Kobren, Ayush Noori, Isaac S. Kohane, Marinka Zitnik:
Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases. - Bilal A. Naved, Shravan Ravishankar, Georges E. Colbert, Andrew Johnston, Quintan M. Slott, Yuan Luo:
LLM enabled classification of patient self-reported symptoms and needs in health systems across the USA. - Yao Qiu, Xiaolan Chen, Xinyuan Wu, Yunqian Li, Pusheng Xu, Kai Jin, Xianwen Shang, Peranut Chotcomwongse, Mingguang He, Danli Shi:
Embodied artificial intelligence in ophthalmology. - Neta Shanwetter Levit, Mor Saban:
When investigator meets large language models: a qualitative analysis of cancer patient decision-making journeys. - Nansu Zong, Shaika Chowdhury, Shibo Zhou, Sivaraman Rajaganapathy, Yue Yu, Liewei Wang, Qiying Dai, Pengyang Li, Xiaoke Liu, Suzette J. Bielinski, Jun Chen, Yongbin Chen, James R. Cerhan:
Advancing efficacy prediction for electronic health records based emulated trials in repurposing heart failure therapies. - Arjun Mahajan, Ziad Obermeyer, Roxana Daneshjou, Jenna C. Lester, Dylan Powell:
Cognitive bias in clinical large language models. - Irbaz Bin Riaz, Syed Arsalan Ahmed Naqvi, Noman Ashraf, Gordon J. Harris, Kenneth L. Kehl:
Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records. - Yiqi Xia, Xiaolong Guan, Wenhui Zhu, Yanshang Wang, Zhenyu Shi, Ping He:
Effectiveness of symptom monitoring on electronic patient-reported outcomes (ePROs) among patients with lung cancer: a systematic review and meta-analysis. - Boris Babic, I. Glenn Cohen, Ariel Dora Stern, Yiwen Li, Melissa Ouellet:
A general framework for governing marketed AI/ML medical devices. - Jun Liang, Qichuan Fang, Xiaoyi Jiao, Peng Xiang, Junhao Ma, Zijiao Zhang, Yongcheng Liu, Yunfan He, Yingjun Li, Zhixu He, Jianbo Lei:
Approved trends and product characteristics of digital therapeutics in four countries. - Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jingchi Liao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar Ravichandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
A scoping review and evidence gap analysis of clinical AI fairness. - Kirsten I. Taylor, Florian Lipsmeier, Marzia Antonella Scelsi, Ekaterina Volkova-Volkmar, Daria Rukina, Werner Popp, Stefan Lambrecht, Judith Anzures-Cabrera, David Summers, Markus Abt, Annabelle Monnet, Timothy Kilchenmann, Jens Schjodt-Eriksen, Laurent Essioux, Thomas Kustermann, Wagner Zago, Hanno Svoboda, Tania Nikolcheva, Ronald B. Postuma, Gennaro Pagano, Michael Lindemann, PASADENA Investigators, Prasinezumab Study Group:
Exploratory digital outcome measures of motor sign progression in Parkinson's disease patients treated with prasinezumab. - John Grimes, Ryan Brush, Nikolai Rhyzhikov, Piotr Szul, Joshua C. Mandel, Daniel Gottlieb, Grahame Grieve, Bashir Sadjad, Arjun Sanyal:
SQL on FHIR - Tabular views of FHIR data using FHIRPath. - Alon Malka-Markovitz, Stelian Camara Dit Pinto, Mohammed Cherkaoui, Steven M. Levine, Sharmila Anandasabapathy, Gagan K. Sood, Sadhna Dhingra, Gao Yujia, John M. Vierling, Nicolas R. Gallo:
Multiscale modeling of drug-induced liver injury from organ to lobule. - Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame:
Identifying and mitigating algorithmic bias in the safety net. - Magali Boers, Aude Rochereau, Louisa Stuwe, Lorena San Miguel, Jochen Klucken, Fruzsina Mezei, Jérôme Fabiano, Sandrine Boulet, Aymeric Perchant, Rosanna Tarricone, Francesco Petracca, Barbara Hoefgen, Corinne Collignon, Sarah Zohar, Alan G. Fraser, D. Panteli, Enrico G. Caiani, G. Dawson, J. Haverinen, Liesbet Geris, M. Guardian, M. Posch, R. Maspons Bosch, R. Jeindl, V. Strammiello, P. Hoogendoorn, M. Kalliola, J. Ahlqvist, V. Vercamer, J. Spony, M. Marchetti:
Classification grid and evidence matrix for evaluating digital medical devices under the European union landscape. - Shaun Kohli, Parul Agarwal, Asala Erekat, Girish Nadkarni, Benjamin Kummer:
Machine learning to predict penumbra core mismatch in acute ischemic stroke using clinical note data. - Amira Hentati, Nils Hentati Isacsson, H. A. Rosen, Susanna Jernelöv, Viktor Kaldo, Brjánn Ljótsson, Erik Forsell, Nils Lindefors, Martin Kraepelien:
Effects of intervention design on engagement and outcomes in digital self-help for insomnia - factorial RCT. - Homer A. Riva-Cambrin, Rahul Singh, Sanju Lama, Garnette R. Sutherland:
Liquid white box model as an explainable AI for surgery. - Elizabeth J. Enichen, Kimia Heydari, Ben Li, Joseph C. Kvedar:
Platform matters - Differences in COVID data collected from Android and iOS app users. - Pascal Klöckner, José Teixeira, Diana Montezuma, João Fraga, Hugo M. Horlings, Jaime S. Cardoso, Sara Pires de Oliveira:
H&E to IHC virtual staining methods in breast cancer: an overview and benchmarking. - Shaza Gamal, Ahmad Mohamad Abbas Elseasi, Nirmeen Ahmed Sabry, Samar Farghali Farid:
Impact of pharmacist led mobile application on medication adherence and efficacy in chronic kidney disease. - Pippa Boering, Matthew Jones, Kishan Patel, Daniel Leightley, Simon Dymond:
A scoping review of routinely collected linked data in research on gambling harm. - Kacper Sokol, James C. Fackler, Julia E. Vogt:
Artificial intelligence should genuinely support clinical reasoning and decision making to bridge the translational gap. - Daqu Zhang, Looket Dihge, Pär-Ola Bendahl, Ida Arvidsson, Magnus Dustler, Julia Ellbrant, Kim Gulis, Malin Hjärtström, Mattias Ohlsson, Cornelia Rejmer, David Schmidt, Sophia Zackrisson, Patrik Edén, Lisa Rydén:
Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer. - Taavi Tillmann, Andrew Copas, Paul Stokes, Nick Udell, Jo Stead, Jin Lim, Gene Libow:
Agile evaluation including two pragmatic trials on the uptake of a digital screening service. - Cecilia Bonazzetti, Ettore Rocchi, Alice Toschi, Nicolas Riccardo Derus, Claudia Sala, Renato Pascale, Matteo Rinaldi, Caterina Campoli, Zeno Adrien Igor Pasquini, Beatrice Tazza, Armando Amicucci, Milo Gatti, Simone Ambretti, Pierluigi Viale, Gastone C. Castellani, Maddalena Giannella:
Artificial Intelligence model to predict resistances in Gram-negative bloodstream infections. - Kamil Wojciech Mikolaj, Anders Nymark Christensen, Caroline Taksøe-Vester, Aasa Feragen, Olav Bjørn Petersen, Manxi Lin, Mads Nielsen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard:
Predicting abnormal fetal growth using deep learning. - Stefan Wittlinger, Isabella C. Wiest, Mahboubeh Jannesari Ladani, Jakob Nikolas Kather, Matthias P. Ebert, Fabian Siegel, Sebastian Belle:
How machine learning on real world clinical data improves adverse event recording for endoscopy. - Isabella Joy de Vere Hunt, Kang-Xing Jin, Eleni Linos:
A framework for considering the use of generative AI for health. - Haoyuan Wang, Rui Yang, Mahmoud Alwakeel, Ankit Kayastha, Anand Chowdhury, Joshua M. Biro, Anthony D. Sorrentino, Jessica L. Handley, Sarah Hantzmon, Sophia Bessias, Nicoleta J. Economou-Zavlanos, Armando Bedoya, Monica Agrawal, Raj M. Ratwani, Eric G. Poon, Michael J. Pencina, Kathryn I. Pollak, Chuan Hong:
An evaluation framework for ambient digital scribing tools in clinical applications. - Li Li, Kunhong Xiao, Taichen Lai, Kunfeng Lai, Jiawen Lin, Zongyuan Ge, Lingyi Liang, Hao Huang, Xiaoshan Zhang, Li Liu, Yujie Wang, Xianwen Shang, Mingguang He, Ying Xue, Zhuoting Zhu:
Development and multicenter validation of an AI driven model for quantitative meibomian gland evaluation. - Danli Shi, Weiyi Zhang, Jiancheng Yang, Siyu Huang, Xiaolan Chen, Pusheng Xu, Kai Jin, Shan Lin, Jin Wei, Mayinuer Yusufu, Shunming Liu, Qing Zhang, Zongyuan Ge, Xun Xu, Mingguang He:
A multimodal visual-language foundation model for computational ophthalmology. - Raymond Francis R. Sarmiento, Shauna M. Overgaard, Chenyu Gai, Joshua D. Overgaard, Joshua Ohde:
Guiding responsible AI in healthcare in the Philippines. - Jacob Desman, Zhang-Wei Hong, Moein Sabounchi, Ashwin S. Sawant, Jaskirat Gill, Ana C. Costa, Gagan Kumar, Rajeev Sharma, Arpeta Gupta, Paul McCarthy, Veena Nandwani, Doug Powell, Alexandra Carideo, Donnie Goodwin, Sanam Ahmed, Umesh Gidwani, Matthew A. Levin, Robin Varghese, Farzan Filsoufi, Robert Freeman, Avniel Shetreat-Klein, Alexander W. Charney, Ira S. Hofer, Lili Chan, David Reich, Patricia H. Kovatch, Roopa Kohli-Seth, Monica Kraft, Pulkit Agrawal, John A. Kellum, Girish N. Nadkarni, Ankit Sakhuja:
A distributional reinforcement learning model for optimal glucose control after cardiac surgery. - Young Kim, In Ja Park, Jun-Soo Ro, Jong Lyul Lee, Chan Wook Kim, Yong Sik Yoon, Seok-Byung Lim, Chang Sik Yu, Yura Lee, Yae Won Tak, Seockhoon Chung, Kyung Won Kim, Yousun Ko, Sung-Cheol Yun, Min-Woo Jo, Jong Won Lee:
Author Correction: A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer. - Gayan Dihantha Kuruppu Kuruppu Appuhamilage, Maqbool Hussain, Mohsin Zaman, Wajahat Ali Khan:
A health digital twin framework for discrete event simulation based optimised critical care workflows. - Jialu Geng, Kai Zhang, Li Dong, Shiqi Hui, Qian Zhang, Zhixi Li, Ruiheng Zhang, Xue Jiang, Mingyang Wang, Shuantao Sun, Hong Zhang, Yunyun Yang, Xinji Yang, Yingshi Piao, Dongmei Li:
AI assistance enhances histopathologic distinction between sebaceous and squamous cell carcinoma of the eyelid. - Anu Prasad Sreenivasan Nair, Srikanta K. Mishra, Pedro Andres Alba Diaz:
A systematic review of machine learning approaches in cochlear implant outcomes. - Giorgos Papanastasiou, Marco Scutari, Raffi Tachdjian, Vivian Hernandez-Trujillo, Jason Raasch, Kaylyn Billmeyer, Nikolay V. Vasilyev, Vladimir Ivanov:
Large scale causal modeling to identify adults at risk for combined and common variable immunodeficiencies. - Armaan K. Malhotra, Husain Shakil, Christopher W. Smith, Yu Qing Huang, Jethro C. C. Kwong, Kevin E. Thorpe, Christopher D. Witiw, Abhaya V. Kulkarni, Jefferson R. Wilson, Avery B. Nathens:
Predicting outcomes after moderate and severe traumatic brain injury using artificial intelligence: a systematic review. - Barry Solaiman, Yosra Magdi Mekki, Junaid Qadir, Mohamed Ghaly, Mohamed Abdelkareem, Abdulla Al-Ansari:
A "True Lifecycle Approach" towards governing healthcare AI with the GCC as a global governance model. - Max Ostermann, Oscar Freyer, Carsten Weinhold, Kai Martius, Stephen Gilbert:
How secure are your health devices - stopping wearables becoming a personal and national security risk? - Zhen Yu, Ruiye Chen, Peng Gui, Wei Wang, Imran Razzak, Hamid Alinejad-Rokny, Xiaomin Zeng, Xianwen Shang, Lei Zhang, Xiaohong Yang, Honghua Yu, Wenyong Huang, Huimin Lu, Peter van Wijngaarden, Mingguang He, Zhuoting Zhu, Zongyuan Ge:
A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning. - Akihiko Wada, Yuya Tanaka, Mitsuo Nishizawa, Akira Yamamoto, Toshiaki Akashi, Akifumi Hagiwara, Yayoi Hayakawa, Junko Kikuta, Keigo Shimoji, Katsuhiro Sano, Koji Kamagata, Atsushi Nakanishi, Shigeki Aoki:
Retrieval-augmented generation elevates local LLM quality in radiology contrast media consultation. - Ross Jacobucci, Miguel Blacutt, Nilàm Ram, Brooke A. Ammerman:
Smartphone screen time and suicide risk in daily life captured through high-resolution screenshot data. - Yi Zhou, Haitao Nie, Xinyu Gong, Minhui Dai, Zhaohong Guo, Xiaoling Deng, Mengyang Li, Yong Liu, Lingyu Sun, Xiangyi Tang, Ling Zhou, Zhiyao Tang, Ziqing Xia, Lemeng Feng, Wulong Zhang, Qingqing Yi, Xiaobo Xia, Bin Xie, Weitao Song:
A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system. - Katharine A. Smith, Thomas Ward, Sinéad Lambe, Edoardo G. Ostinelli, Charlotte Blease, Thomas Gant, Stefan M. Gold, Emily A. Holmes, Ivana Paccoud, Anastasia Vinnikova, Jochen Klucken, Peter J. Uhlhaas, Carolina Garcia Sanchez, Kate Haining, Kerem Böge, Sofiia Lahutina, Luisa Tomelleri, Sean Ryan, John Torous, Andrea Cipriani:
Engagement and attrition in digital mental health: current challenges and potential solutions. - Xiaoling Huang, Xiangyin Kong, Yan Yan, Zhiyuan Gao, Zihan Li, Chun Zhang, Kai Jin, Juan Ye:
Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives. - Catherine L. Jan, Sanil Joseph, Algis J. Vingrys, Jacqueline Henwood, Zongyuan Ge, Randall S. Stafford, Mingguang He:
Prospective pragmatic trial of automated retinal photography and AI glaucoma screening in Australian primary care. - Marina Bonato, Andrea Garolla, Marina Miscioscia:
A systematic review of developments in mHealth smartphone applications for Transgender and Gender Diverse individuals. - Ariel Yuhan Ong, Priyal Taribagil, Mertcan Sevgi, Aditya U. Kale, Eliot R. Dow, Trystan Macdonald, Ashley Kras, Gregory Maniatopoulos, Xiaoxuan Liu, Pearse A. Keane, Alastair K. Denniston, Henry David Jeffry Hogg:
A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America. - Menglei Zhu, Hui Lin, Jue Jiang, Abbas J. Jinia, Justin Jee, Karl Pichotta, Michele Waters, Doori Rose, Nikolaus Schultz, Sulov Chalise, Lohit Valleru, Olivier Morin, Jean Moran, Joseph O. Deasy, Shirin Pilai, Chelsea Nichols, Gregory Riely, Lior Z. Braunstein, Anyi Li:
Large language model trained on clinical oncology data predicts cancer progression. - Alberta M. C. Spreafico, Rosanna Tarricone, Ariel D. Stern:
Comprehensive policies for scaling systemic and equitable integration of digital health technologies. - Jing Hao, Andrew Nalley, Andy Wai Kan Yeung, Ray Tanaka, Qi Yong H. Ai, Walter Yu Hang Lam, Zhiyi Shan, Yiu Yan Leung, Abeer Alhadidi, Michael M. Bornstein, James K. H. Tsoi, Colman McGrath, Kuo Feng Hung:
Characteristics, licensing, and ethical considerations of openly accessible oral-maxillofacial imaging datasets: a systematic review. - Enyu Yuan, Yuntian Chen, Lei Ye, Ben He, Chunlei He, Junchao Ma, Ting Yang, Hao Zeng, Ling Yang, Jin Yao, Bin Song:
Enhanced staging of renal cell carcinoma using tumor morphology features: model development and multi-source validation. - Yuhan Zhang, Xiao Ma, Mingchao Li, Kun Huang, Jie Zhu, Miao Wang, Xi Wang, Menglin Wu, Pheng-Ann Heng:
Generalist medical foundation model improves prostate cancer segmentation from multimodal MRI images. - Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George A. Kastis, Michael Bussmann, Claude Chelala, Sara Khalid, Hagen Kruger, Philippe Lambin, Giorgos Papanastasiou:
Advancing breast, lung and prostate cancer research with federated learning. A systematic review. - Nicki Newton, Adeola Bamgboje-Ayodele, Rowena Forsyth, Amina Tariq, Melissa T. Baysari:
A systematic review of clinicians' acceptance and use of clinical decision support systems over time. - Chieh-Ju Chao, Yunqi Richard Gu, Wasan Kumar, Tiange Xiang, Lalith Appari, Justin Wu, Juan Maria Farina, Rachael Wraith, Jiwoong Jason Jeong, Reza Arsanjani, Garvan C. Kane, Jae K. Oh, Curtis P. Langlotz, Imon Banerjee, Li Fei-Fei, Ehsan Adeli:
Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound. - Naira Ikram, Nimesh A. Patel, Joseph C. Kvedar:
Wearable health devices for pediatric ophthalmology. - Changqin Quan, Zhonglue Chen, Kang Ren, Zhiwei Luo:
FedOcw: optimized federated learning for cross-lingual speech-based Parkinson's disease detection. - Bruno Valan, Anusha Prakash, William Ratliff, Michael Gao, Srikanth Muthya, Ajit Thomas, Jennifer L. Eaton, Matt Gardner, Marshall Nichols, Mike Revoir, Dustin Tart, Cara O'Brien, Manesh Patel, Suresh Balu, Mark P. Sendak:
Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model. - David Hein, Alana Christie, Michael J. Holcomb, Bingqing Xie, Aj Jain, Joseph Vento, Dinesh Rakheja, Ameer Hamza Shakur, Scott Christley, Lindsay G. Cowell, James Brugarolas, Andrew R. Jamieson, Payal Kapur:
Iterative refinement and goal articulation to optimize large language models for clinical information extraction. - Shengxiang Wang, Ge Li, Min Gao, Linlin Zhuo, Mingzhe Liu, Zhizhong Ma, Wei Zhao, Xiangzheng Fu:
GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation. - Paul Ulrich, Alexander Zink, Tilo Biedermann, Sebastian Sitaru:
Beyond Fitzpatrick: automated artificial intelligence-based skin tone analysis in dermatological patients. - Scott J. Adams, Julián Nicolás Acosta, Pranav Rajpurkar:
How generative AI voice agents will transform medicine. - Rebekah Eden, Ignatius Chukwudi, Chris Bain, Sebastiano Barbieri, Leonie Callaway, Susan de Jersey, Yasmeen George, Alain-Dominique Gorse, Michael Lawley, Peter Marendy, Steven M. McPhail, Anthony N. Nguyen, Mahnaz Samadbeik, Clair Sullivan:
A scoping review of the governance of federated learning in healthcare. - Jia Zhou, Qian Zhai, Han Qi, Xiaolei Jin, Cunli Xiao, Wenxiu Li, Junwei Song, Lei Feng, Haibo Wang, Chengcheng Dong, Zibo Yu, Yuan Feng, Gang Wang, Fang Yan:
Randomized clinical trial of a digital medication system to enhance adherence in patients with severe mental disorders. - Vivek A. Rudrapatna, Vignesh G. Ravindranath, Douglas Arneson, Arman Mosenia, Atul J. Butte, Shan Wang:
From trial data to personalized medicine: a validated framework with an application to Crohn's disease. - Linqian Li, Shujie Cheng, Jinghua Li, Jihong Yang, Hongguang Wang, Bin Dong, Xiaoping Yin, Hongyun Shi, Shuo Gao, Feng Gu, Zhe Han, Zhi Chen, Jisen Zhao, Quan Zhang, Jie-Zhi Cheng, Yuan Wang, Fengwei Tan, Ke Zhang:
Randomized comparison of AI enhanced 3D printing and traditional simulations in hepatobiliary surgery. - Maximilian Ferle, Nora Grieb, Markus Kreuz, Jonas Ader, Hartmut Goldschmidt, Elias K. Mai, Uta Bertsch, Uwe Platzbecker, Thomas Neumuth, Kristin Reiche, Alexander Oeser, Maximilian Merz:
Publisher Correction: Predicting progression events in multiple myeloma from routine blood work. - Simon A. Lee, Sujay Jain, Alex Chen, Kyoka Ono, Arabdha Biswas, Ákos Rudas, Jennifer Fang, Jeffrey N. Chiang:
Clinical decision support using pseudo-notes from multiple streams of EHR data. - Han Yang, Hang Yu, Michael E. Kotlyar, Sheena Dufresne, Serguei V. S. Pakhomov:
Relative importance of temporal and location features in predicting smoking events. - Cindy N. Ho, Alessandra T. Ayers, Lutz Heinemann, David C. Klonoff:
The need to transition from paper to electronic instructions for use for diabetes devices. - Cailbhe Doherty, Maximus Baldwin, Rory Lambe, Marco Altini, Brian Caulfield:
Privacy in consumer wearable technologies: a living systematic analysis of data policies across leading manufacturers. - Sadiq Y. Patel, Michael L. Barnett, Sanjay Basu:
Predicting quality measure completion among 14 million low-income patients enrolled in medicaid. - Chuan Hong, Jun Wen, Harrison G. Zhang, Vidul Ayakulangara Panickan, Doris Yang, Alicia W. Chen, Xin Xiong, Xuan Wang, Michele Morris, Sara Morini, Rahul Sangar, Andrew Dey, Malarkodi J. Samayamuthu, Katherine P. Liao, Clara-Lea Bonzel, Vidisha Tanukonda, Monika Maripuri, Jacqueline Honerlaw, Yuk-Lam Ho, Shyam Visweswaran, Isaac S. Kohane, Kelly Cho, Gabriel A. Brat, Zongqi Xia, Tianxi Cai:
Label efficient phenotyping for Long COVID using electronic health records. - Maria Chiara Fiorentino, Sara Moccia, Mariachiara Di Cosmo, Emanuele Frontoni, Benedetta Giovanola, Simona Tiribelli:
Uncovering ethical biases in publicly available fetal ultrasound datasets. - Luca Saba, Ernesto D'Aloja:
Predictive techniques in medical imaging: opportunities, limitations, and ethical-economic challenges. - Zhen-Xing Chu, Xia Jin, Ze-Hao Ye, Yan-Yan Zhu, Xiao-Jie Huang, Hui Wang, Yao-Kai Chen, Yu-Jing An, Zhen-Hao Wu, Yong-Jun Jiang, Qing-Hai Hu, Hong Shang:
Real-time digital intervention on oral pre-exposure prophylaxis adherence among MSM: randomized controlled trial. - Yale Jiang, Ye Leng, Qing Wu, Yiru Hou, Xueyuan Dong, Caiwen Zeng, Dawei Wu, Hong Fang, Yu Tang, Huiyao Huang, Ning Li:
Understanding the gap between expectations and reality in decentralized clinical trials. - An Shao, Xiaocong Liu, Wenyue Shen, Yingyu Li, Hongkang Wu, Xiangji Pan, Zexin Yang, Yufeng Xu, Tiepei Zhu, Yao Wang, Jie Yang, Yih Chung Tham, Jian Wu, Kai Jin, Juan Ye:
Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation. - Rohan Singh, Monika Bapna, Abdul Rahman Diab, Emily S. Ruiz, William Lotter:
How AI is used in FDA-authorized medical devices: a taxonomy across 1,016 authorizations. - Collin Asheim, Ashok Puri, Helen Song, Brian Armstrong, Sam Navon, Ronald Krueger:
The Nebraska Nomogram for Autograft Planning (NNAP) a surgical planning tool for ipsilateral rotational autokeratoplasty. - Yuqing Deng, Pujin Cheng, Ruiwen Xu, Lirong Ling, Hongliang Xue, Shiyou Zhou, Yansong Huang, Junyan Lyu, Zhonghua Wang, Kenneth K. Y. Wong, Yimin Zhang, Kang Yu, Tingting Zhang, Xiaoqing Hu, Xiaoyi Li, Xiaoying Tang, Yan Lou, Jin Yuan:
Advanced and interpretable corneal staining assessment through fine grained knowledge distillation. - Alessandro Blasimme, Constantin Landers, Effy Vayena:
Fostering inclusive co-creation in digital health. - Boyuan Wang, Ying Zheng, Xihao Han, Liang Kong, Gexin Xiao, Zunxiong Xiao, Shanji Chen:
A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions. - Nele Albers, Francisco S. Melo, Mark A. Neerincx, Olya Kudina, Willem-Paul Brinkman:
Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention. - Ross Lathan, Louise Hitchman, Josephine Walshaw, Bharadhwaj Ravindhran, Daniel Carradice, George Smith, Ian Chetter, Marina Yiasemidou:
Postoperative remote first care for financially and environmentally sustainable healthcare. - Aida Brankovic, David Cook, Jessica Rahman, Alana Delaforce, Jane Li, Farah Magrabi, Federico Cabitza, Enrico W. Coiera, Danakai Bradford:
Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems. - Charles E. Binkley, David Bouslov, Ali Zaidi, Lauren Kaye, Ralph Whalen, Sameer Sethi, Jose Azar:
An early pipeline framework for assessing vendor AI solutions to support return on investment. - Yu Leng, Yingnan He, Samad Amini, Colin G. Magdamo, Ioannis Paschalidis, Shibani S. Mukerji, Lidia M. V. R. Moura, M. Brandon Westover, Ana-Maria Vranceanu, Christine S. Ritchie, Deborah Blacker, John R. Dickson, Sudeshna Das:
A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records. - Tara Templin, Sophia Fort, Prasanna Padmanabham, Pratyush Seshadri, Ram Rimal, Junier Oliva, Kristin Hassmiller Lich, Sean Sylvia, Nasa Sinnott-Armstrong:
Framework for bias evaluation in large language models in healthcare settings. - Yuanyuan Zheng, Adel Bensahla, Mina Bjelogrlic, Jamil Zaghir, Hugues Turbé, Lydie Bednarczyk, Christophe Gaudet-Blavignac, Julien Ehrsam, Stéphane Marchand-Maillet, Christian Lovis:
A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data. - David Chen, Kabir Chauhan, Rod Parsa, Zhihui Amy Liu, Fei-Fei Liu, Ernie Mak, Lawson Eng, Breffni Louise Hannon, Jennifer Croke, Andrew Hope, Nazanin Fallah-Rad, Phillip Wong, Srinivas Raman:
Author Correction: Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer. - Esther-Maria Antao, Aadil Rasheed, Anatol-Fiete Näher, Lothar H. Wieler:
Reason and responsibility as a path toward ethical AI for (global) public health. - Ayoub Bouguettaya, Elizabeth M. Stuart, Elias Aboujaoude:
Racial bias in AI-mediated psychiatric diagnosis and treatment: a qualitative comparison of four large language models. - Dane Anthony Morey, Michael F. Rayo, David D. Woods:
Empirically derived evaluation requirements for responsible deployments of AI in safety-critical settings. - Gadi Miron, Mustafa Halimeh, Simon Tietze, Martin Holtkamp, Christian Meisel:
Detection of epileptic spasms using foundational AI and smartphone videos. - Marta Saiz-Vivó, Jordi Mill, Xavier Iriart, Hubert Cochet, Gemma Piella, Maxime Sermesant, Oscar Camara:
Digital twin integrating clinical, morphological and hemodynamic data to identify stroke risk factors. - Wenying Zhou, Run Lin, Yuanhang Zheng, Shan Wang, Bin Xu, Zijian Tang, Ruixuan Wang, Cheng Yu, Hualin Yan, Juxian Liu, Wen Ling, Guangliang Huang, Zongjie Weng, Luyao Zhou:
Multimodal model for the diagnosis of biliary atresia based on sonographic images and clinical parameters. - Peter D. Stetson, January Choy, Natalia Summerville, Abigail Baldwin-Medsker, Janet Mak, Avijit Chatterjee, Kristen Kim, Chhavi Kumar, Patrick Samedy, Joanna Halperin, Louis Voigt, Justin Jee, Jill Fraser, MaryAnn Connor, Richard Harper, Rémy Evard, Anaeze C. Offodile:
Responsible Artificial Intelligence governance in oncology. - Shervin Mossavarali, Ali Vaezi, Zahra Gholami, Alireza Molaei, Mir Saeed Yekaninejad, Folkert W. Asselbergs, Akbar Shafiee:
Determinants of artificial intelligence electrocardiogram-derived age and its association with cardiovascular events and mortality: a systematic review and meta-analysis. - Christoph F. Kurz, Tatiana Merzhevich, Bjoern M. Eskofier, Jakob Nikolas Kather, Benjamin Gmeiner:
Benchmarking vision-language models for diagnostics in emergency and critical care settings. - Dillan Prasad, Aditya Khandeshi, Spencer Sartin, Rishi Jain, Nader Dahdaleh, Maciej Lesniak, Yuan Luo, Christopher Ahuja:
Will AI become our Co-PI? - Dazheng Zhang, Bingyu Zhang, Huiyuan Wang, Yiwen Lu, Charles J. Wolock, Wenjie Hu, Linbo Wang, George Hripcsak, Yong Chen:
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences. - Ben Li, Badr Aljabri, Derek Beaton, Leen Al-Omran, Mohamad A. Hussain, Douglas S. Lee, Duminda N. Wijeysundera, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran:
Predicting outcomes following endovascular aortoiliac revascularization using machine learning. - Jake Linardon, Cleo Anderson, Mariel Messer, Claudia Liu, John B. Torous:
Transdiagnostic-focused apps for depression and anxiety: a meta-analysis. - Yang Liu, Keming Zhao, Lihui Luo, Ziheng Zhang, Zhenghang Qian, Cenk Jiang, Zhicheng Du, Simin Deng, Chengming Yang, Duanpo Wu, Shuai Wang, Xingru Huang, Chenggang Yan, Yingting Zhu, Yehong Zhuo, Chunsheng Qu, Jiaqi Chen, Zhenqiang Huang, Chenying Lu, Minjiang Chen, Dongmei Yu, Jiantao Wang, Peiwu Qin, Jiansong Ji:
Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning. - Michael Tran, Chinthaka Balasooriya, Carolyn Semmler, Joel Rhee:
Generative artificial intelligence: the 'more knowledgeable other' in a social constructivist framework of medical education. - Zhaohui Bai, Su Lin, Mingyu Sun, Shanshan Yuan, Mariana Barros Marcondes, Dapeng Ma, Qiang Zhu, Yiling Li, Yingli He, Cyriac Abby Philips, Xiaofeng Liu, Kanokwan Pinyopornpanish, Lichun Shao, Nahum Méndez-Sánchez, Metin Basaranoglu, Yunhai Wu, Yu Chen, Ling Yang, Andrea Mancuso, Frank Tacke, Bimin Li, Lei Liu, Fanpu Ji, Xingshun Qi:
Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding. - Dmitrii Seletkov, Sophie Starck, Tamara T. Mueller, Yundi Zhang, Lisa Steinhelfer, Daniel Rueckert, Rickmer Braren:
AI-driven preclinical disease risk assessment using imaging in UK biobank. - Lili Huang, Zhuoyuan Li, Xiaolei Zhu, Hui Zhao, Chenglu Mao, Zhihong Ke, Yuting Mo, Dan Yang, Yue Cheng, Ruomeng Qin, Zheqi Hu, Pengfei Shao, Ying Chen, Min Lou, Kelei He, Yun Xu:
Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study. - Lee M. Ritterband, Kelly M. Shaffer, Frances P. Thorndike, Philip I. Chow, Linda Gonder-Frederick, Karen S. Ingersoll, Wendy Cohn, Christina Frederick, Kirsten Macdonnell, Jillian V. Glazer, Meghan K. Mattos, Michelle M. Hilgart, Mark S. Quigg, Mudhasir Bashir, Charles M. Morin:
A randomized controlled trial of a digital cognitive behavioral therapy for insomnia for older adults. - Maksym Bondarenko, Carlo Menon, Mohamed Elgendi:
The role of face regions in remote photoplethysmography for contactless heart rate monitoring. - Alexander Smith, Thomas Beaney, Carinna Hockham, Bowen Su, Paul Elliott, Laura Downey, Spiros Denaxas, Payam Barnaghi, Abbas Dehghan, Ioanna Tzoulaki:
Identifying clusters of people with Multiple Long-Term Conditions using Large Language Models: a population-based study. - Yuhe Ke, Bernard Soon Yang Ong, Liyuan Jin, Jacqueline Sim, Chi Ho Chan, Chai Rick Soh, Danny Jon Nian Wong, Nan Liu, Ban Leong Sng, Daniel Shu Wei Ting, Su Qian Yeo, Marcus Eng Hock Ong, Hairil Rizal Abdullah:
Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial. - Seong Yun Park, Myeong Ju Kim, Joon Hee Cho, Hee Seung Nam, Jade Pei Yuik Ho, Yong Seuk Lee:
Osteoarthritis progression pattern based on patient specific characteristics using machine learning. - Khira Sippli, Stefanie Deckert, Jochen Schmitt, Madlen Scheibe:
Healthcare effects and evidence robustness of reimbursable digital health applications in Germany: a systematic review. - Xueyi Zheng, Ke Zheng, Yongqin Wen, Jiajia Meng, Xinke Zhang, Xiaobo Wen, Zihan Zhao, Chengyou Zheng, Xiaoxia Cai, Jiliang Lin, Jiewei Chen, Jinling Duan, Liwen Jiang, Wei Yuan, Xiaomei Li, Dan Xie, Yubo Cai, Jiangyu Zhang, Muyan Cai:
An end-to-end multifunctional AI platform for intraoperative diagnosis. - Lanshu Yang, Zuoxiang Wang, Sheng Zhao, Mengyuan Liu, Yalin Zhu, Fenghuan Hu, Xiaojin Gao, Yongjian Wu:
Effectiveness of digital healthcare to improve clinical outcomes in discharged patients with coronary artery disease. - Kimia Heydari, Elizabeth J. Enichen, Ben Li, Joseph C. Kvedar:
Leveraging retinal vascular features in non-invasive, early diagnosis of preeclampsia. - Dharani Yerrakalva, Samantha Hajna, Soren Brage, Simon J. Griffin:
Evaluation of the NHS active 10 walking app intervention through time-series analysis in 201,688 individuals. - Sanjay Basu, Pablo Bermudez-Canete, Tannen Christopher Hall, Pranav Rajpurkar:
Optimizing AI solutions for population health in primary care. - Prateek Munjal, Ahmed Al-Mahrooqi, Ronnie Rajan, Andrew Jeremijenko, Iftikhar Ahmad, Muhammad Imran Akhtar, Marco A. F. Pimentel, Shadab Khan:
Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs. - Deborah Passey, Hasan Ferdous, Kara Burns, Cecily Gilbert, Emma Power, Tanya Rose, Julie Bernhardt, Vincent Thijs, Daniel Capurro:
UI/UX design requirements for young stroke survivors: recommendations from the literature. - Elias Walter, Tobias Brock, Pierre Lahoud, Nils Werner, Felix Czaja, Antonin Tichy, Caspar Bumm, Andreas Bender, Ana Castro, Wim Teughels, Falk Schwendicke, Matthias Folwaczny:
Predictive modeling for step II therapy response in periodontitis - model development and validation. - Xingru He, Guangzheng Dai, Huixin Che, Chenguang Zhang, Hairu Yan, Yu Dang, Haifeng Dong:
Intelligent screening of narrow anterior chamber angle based on portable slit lamp. - Sulaiman O. Afolabi, Leila Gheisi, Jing Shan, Lucy Q. Shen, Mengyu Wang, Min Shi:
Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation. - Can Lu, Shenwei Wan, Zhiyong Liu:
Determinants of depressive symptoms in multinational middle-aged and older adults. - Tiantian Chen, Ekaterina Hertog, Adam Mahdi, Samantha Vanderslott:
A systematic review on patient and public attitudes toward health monitoring technologies across countries. - Jing Huang, Jingtao Wang, Junhai Shi, Hengli Ni, Shan Xu, Ping Wu, Yuexiang Ren, Lijuan Bian, Chenhan Su, Yuxuan Xu, Xinyu He, Xinjian Chen, Jianming Li:
Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis. - Giorgio Cazzaniga, Vincenzo L' Imperio, Emanuela Bonoldi, María-Carlota Londoño, João Madaleno, Augusta Cipriano, Tom J. G. Gevers, Iryna V. Samarska, Özgür M. Koc, Alejandra Villamil, Maria Florencia Sanchez, Vincenza Calvaruso, Alberto Quattrocchi, Daniela Cabibi, Bastian Engel, Federica Malinverno, Elisa Merelli, Laura Cristoferi, Marco Carbone, Fabio Pagni, Pietro Invernizzi, Alessio Gerussi:
Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT model. - Huo Li, Jing Qin, Zhongzhuan Li, Rong Ouyang, Zhixin Chen, Shijiang Huang, Shufen Qin, Qiliang Huang:
Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images. - Michael P. Dorsch, Jessica R. Golbus, Rachel Stevens, Brad Trumpower, Tanima Basu, Evan Luff, Kimberly Warden, Michael Giacalone, Sarah Bailey, Gabriella V. Rubick, Sonali R. Mishra, Predrag Klasnja, Mark W. Newman, Lesli E. Skolarus, Brahmajee K. Nallamothu:
Physical activity and diet just-in-time adaptive intervention to reduce blood pressure: a randomized controlled trial. - Myrthe F. Kuipers, Umut Konus, Bianca J. J. M. Brundel, S. Ilker Birbil:
Communication strategies driving online health community patient awareness and engagement investigated within atrial fibrillation context. - Marzieh Mussavi Rizi, Daniel Fernández, John L. K. Kramer, Rajiv Saigal, Anthony M. Digiorgio, Michael Beattie, Adam R. Ferguson, Nikos Kyritsis, Abel Torres-Espin, Prakruthi Amar Kumar, Michael S. Beattie, Jacqueline C. Bresnahan, Xuan Duong-Fernandez, Debra D. Hemmerle, J. Russell Huie, Anastasia Keller, Nicole Lai, Geoffrey T. Manley, Jonathan Z. Pan, Lisa U. Pascual, Vineeta Singh, Jason F. Talbott, Phil Weinstein, William D. Whetstone:
Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury. - Ming-Jie Luo, Shaowei Bi, Jianyu Pang, Lixue Liu, Ching-Kit Tsui, Yunxi Lai, Wenben Chen, Yahan Yang, Kezheng Xu, Lanqin Zhao, Ling Jin, Duoru Lin, Xiaohang Wu, Jingjing Chen, Rongxin Chen, Zhenzhen Liu, Yuxian Zou, Yangfan Yang, Yiqing Li, Haotian Lin:
A large language model digital patient system enhances ophthalmology history taking skills. - Cecilia A. Callejas Pastor, Hyun Tae Ryu, Jung Sook Joo, Yunseo Ku, Myung-Whan Suh:
Clinical decision support for vestibular diagnosis: large-scale machine learning with lived experience coaching. - Shelly Soffer, Vera Sorin, Girish N. Nadkarni, Eyal Klang:
Pitfalls of large language models in medical ethics reasoning. - Jiheum Park, Jason Patterson, Jose Miguel Acitores Cortina, Tian Gu, Chin Hur, Nicholas P. Tatonetti:
Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings. - Yu Liu, Yishan Yuan, Keming Yan, Yuanyuan Li, Valeria Saccá, Sierra Hodges, Mattia Cannistra, Pauline Jeong, Jiani Wu, Jian Kong:
Evaluating the role of large language models in traditional Chinese medicine diagnosis and treatment recommendations. - Peter V. Coveney, Roger R. Highfield, Eric Stahlberg, Mariano Vázquez:
Digital twins and Big AI: the future of truly individualised healthcare. - John Tayu Lee, Vincent Cheng-Sheng Li, Jia-Jyun Wu, Hsiao-Hui Chen, Sophia Sin-Yu Su, Brian Pin-Hsuan Chang, Richard Lee Lai, Chi-Hung Liu, Chung-Ting Chen, Valis Tanapima, Toby Kai-Bo Shen, Rifat Atun:
Evaluation of performance of generative large language models for stroke care. - Nathan B. Morris, Megan Barnes, Autumn Rybarczyk, Georgia K. Chaseling:
Digital technologies for climate-related health education, behavior and risk reduction: a systematic scoping review. - Fei Dong, Shouping Nie, Manling Chen, Fangfang Xu, Qian Li:
Keyword-based AI assistance in the generation of radiology reports: A pilot study. - Maria Grazia Maggio, Francesca Baglio, Raffaela Maione, Rosalia Calapai, Fulvia Di Iulio, Paulo Cezar Rocha dos Santos, Marcos Maldonado-Díaz, Giulia Pistorino, Antonio Cerasa, Angelo Quartarone, Rocco Salvatore Calabrò:
The overlooked role of exergames in cognitive-motor neurorehabilitation: a systematic review. - Tim Luca Till Wiegand, Leonard Ben Jung, Jonas Anton Gudera, Luisa Sophie Schuhmacher, Paulina Moehrle, Jon Felix Rischewski, Pardiss Mehrzad, Subin Jeong, Lisa Ha Nguyen, Michael Poeschla, Laura Isabella Velezmoro, Linus Kruk, Konstantinos Dimitriadis, Inga Katharina Koerte:
Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators. - Daniel Camacho-Gómez, Carlos Borau, José Manuel García-Aznar, María José Gómez-Benito, Mark Girolami, María Ángeles Pérez:
Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests. - Janis Nikkhah, Alessandro Campione, Viktoria Steinbeck, Laura Wittich, Christoph Pross, Reinhard Busse:
Demographic and socioeconomic determinants of adherence in digital patient-reported outcomes among patients with chronic diseases. - Wei Mao, Da-Jun Jiang, Ying-Qi Zhang, Khin Yee Sammy Loh, Yi-Ming Qi, Shi-Min Chang, Wei-Tao Jia, Choon Chiet Hong:
Preserving the first ray or first two rays in forefoot amputation for diabetic foot ulcers. - Giacomo Nebbia, Sourav Kumar, Stephen McNamara, Christopher P. Bridge, J. Peter Campbell, Michael F. Chiang, Naresh Mandava, Praveer Singh, Jayashree Kalpathy-Cramer:
Re-identification of patients from imaging features extracted by foundation models. - Chisato Hayashi, Nanae Tanemura, Maki Taniguchi, Tadashi Okano, Hiromitsu Toyoda, Sonoe Mashino, Soshiro Ogata:
A randomized controlled trial of mobile intervention using health support bubbles to prevent social frailty. - Roi Cohen Kadosh, Delia Ciobotaru, Malin I. Karstens, Vu Nguyen:
Personalized home based neurostimulation via AI optimization augments sustained attention. - Zhusi Zhong, Yuli Wang, Jing Wu, Wen-Chi Hsu, Vin Somasundaram, Lulu Bi, Shreyas Kulkarni, Zhuoqi Ma, Scott Collins, Grayson Baird, Sun Ho Ahn, Xue Feng, Ihab Kamel, Cheng Ting Lin, Colin Greineder, Michael Atalay, Zhicheng Jiao, Harrison X. Bai:
Vision-language model for report generation and outcome prediction in CT pulmonary angiogram. - Si-An Lee, Jin-Hyuck Park:
Systematic review and meta analysis of standalone digital behavior change interventions on physical activity. - Rebecca Ting Jiin Loo, Lukas Pavelka, Graziella Mangone, Fouad Khoury, Marie Vidailhet, Jean-Christophe Corvol, Enrico Glaab, Geeta Acharya, Gloria Aguayo, Myriam Alexandre, Muhammad Ali, Wim Ammerlann, Giuseppe Arena, Michele Bassis, Roxane Batutu, Katy Beaumont, Sibylle Béchet, Guy Berchem, Alexandre Bisdorff, Ibrahim Boussaad, David Bouvier, Lorieza Castillo, Gessica Contesotto, Nancy De Bremaeker, Brian Dewitt, Nico Diederich, Rene Dondelinger, Nancy E. Ramia, Maria Fernanda Niño Uribe, Angelo Ferrari, Ana Festas Lopes, Katrin Frauenknecht, Joëlle Fritz, Carlos Gamio, Manon Gantenbein, Piotr Gawron, Laura Georges, Soumyabrata Ghosh, Marijus Giraitis, Martine Goergen, Elisa Gómez de Lope, Jérôme Graas, Mariella Graziano, Valentin Grouès, Anne Grünewald, Gaël Hammot, Anne-Marie Hanff, Linda Hansen, Michael Heneka, Estelle Henry, Margaux Henry, Sylvia Herbrink, Sascha Herzinger, Alexander Hundt, Nadine Jacoby, Sonja Jónsdóttir, Jochen Klucken, Olga Kofanova, Rejko Krüger, Pauline Lambert, Zied Landoulsi, Roseline Lentz, Victoria Lorentz, Tainá M. Marques, Guilherme Marques, Patricia Martins Conde, Patrick May, Deborah Mcintyre, Chouaib Mediouni, Francoise Meisch, Alexia Mendibide, Myriam Menster, Maura Minelli, Michel Mittelbronn, Saïda Mtimet, Maeva Munsch, Romain Nati, Ulf Nehrbass, Sarah Nickels, Beatrice Nicolai, Jean-Paul Nicolay, Fozia Noor, Clarissa P. C. Gomes, Sinthuja Pachchek, Claire Pauly, Laure Pauly, Magali Perquin, Achilleas Pexaras, Armin Rauschenberger, Rajesh Rawal, Dheeraj Reddy Bobbili, Lucie Remark, Ilsé Richard, Olivia Roland, Kirsten Roomp, Eduardo Rosales, Stefano Sapienza, Venkata Satagopam, Sabine Schmitz, Reinhard Schneider, Jens Schwamborn, Raquel Severino, Amir Sharify, Ruxandra Soare, Ekaterina Soboleva, Kate Sokolowska, Maud Theresine, Hermann Thien, Elodie Thiry, Johanna Trouet, Olena Tsurkalenko, Michel Vaillant, Carlos Vega, Liliana Vilas Boas, Paul Wilmes, Evi Wollscheid-Lengeling, Gelani Zelimkhanov, Marie-Alexandrine, Isabelle Arnulf, Samir Bekadar, Eve Benchetrit, Alexis Brice, Alizé Chalançon, Benoit Colsch, Florence Cormier-Dequaire, Virginie Czernecki, Bertrand Degos, Pauline Dodet, Carole Dongmo-Kenfack, Cécile Galléa, Rahul Gaurav, Manon Gomes, David Grabli, Marie-Odile Habert, Élodie Hainque, Farid Ichou, Jonas Ihle, Laetitia Jeancolas, Christelle Laganot, Louis-Laure Mariani, Mickaël Lé, Stéphane Lehéricy, Suzanne Lesage, Smaranda Leu Semenescu, Richard Levy, Valentine Maheo, Poornima Menon, Fanny Mochel, Vincent Perlbarg, Dijana Petrovska, Fanny Pineau, Nadya Pyatigorskaya, Sophie Rivaud-Péchoux, Sara Sambin, Julie Socha, Arthur Tenenhaus, Romain Valabrègue, Caroline Weill, Lydia Yahia-Cherif:
Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease. - Shenyu Huang, Boyuan Yang, Xiaoling Huang, Huina Zhang, Dong Luo, Guanchao Tong, Yijie Wang, Yongqing Shao, Menglu Chen, Qi Gao, Juan Ye:
Smartphone video-based early diagnosis of blepharospasm using dual cross-attention modeling enhanced by facial pose estimation. - Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Luk Arbuckle, Devyani Biswal, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Cao Xiao, Jimeng Sun:
A perspective for adapting generalist AI to specialized medical AI applications and their challenges. - Laurel O'Connor, Biqi Wang, Zehao Ye, Stephanie Behar, Seanan Tarrant, Pamela Stamegna, Caitlin Pretz, Leah Dunkel, Brandon Savage, Thomas Scornavacca, Jeanne Shirshac, Tracey Wilkie, Shaun Toomey, Marie Mullen, Kimberly Fisher, Emil Tigas, Steven Wong, David D. McManus, Eric Alper, Fernando Martinez, Allan J. Walkey, Peter K. Lindenauer, Eric Dickson, John Broach, Vik Kheterpal, Apurv Soni:
Evaluation of an integrated digital and mobile intervention to improve outcomes for patients with moderate to severe COPD. - Jiayi Tong, Jenna Marie Reps, Chongliang Luo, Yiwen Lu, Lu Li, Juan Manuel Ramírez-Anguita, Milou T. Brand, Scott L. DuVall, Thomas Falconer, Alex Mayer Fuentes, Xing He, Michael E. Matheny, Miguel A. Mayer, Bhavnisha K. Patel, Katherine Simon, Marc A. Suchard, Guojun Tang, Benjamin Viernes, Ross D. Williams, Mui Van Zandt, Fei Wang, Jiang Bian, Jiayu Zhou, David A. Asch, Yong Chen:
Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm. - Lane Collier, Sarah L. Grimshaw, Julian Stolper, Elyse Passmore, Gareth Ball, David A. Elliott, Rachel Conyers:
Scoping review of the utilization of wearable devices in pediatric and young adult oncology. - Leonie Westerbeek, Annemiek J. Linn, Henk C. P. M. van Weert, Nathalie van der Velde, Stephanie Medlock, Ameen Abu-Hanna, Julia C. M. van Weert:
A randomized controlled trial to evaluate innovative decision support in the context of fall prevention. - Rui-Fang Lu, Chao-Yin She, Dan-Ni He, Mei-Qing Cheng, Ying Wang, Hui Huang, Ya-Dan Lin, Jia-Yi Lv, Si Qin, Ze-Zhi Liu, Zhi-Rong Lu, Wei-Ping Ke, Chao-Qun Li, Han Xiao, Zuo-Feng Xu, Guang-Jian Liu, Hong Yang, Jie Ren, Hai-Bo Wang, Ming-De Lu, Qing-Hua Huang, Li-Da Chen, Wei Wang, Ming Kuang:
AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening. - Bruno Kusznir Vitturi, Patrik Theodor Nerdal, Walter Maetzler:
Author Correction: Collection of the digital data from the neurological examination. - Kathrin M. Cresswell, Robin Williams, Sheena Dungey, Stuart Anderson, Miguel O. Bernabeu, Hajar Mozaffar, Xiao Yang, Varun Sai, Sara Bea, Sally Eason:
A mixed methods formative evaluation of the United Kingdom National Health Service Artificial Intelligence Lab. - Minmin Wang, Xinran Lu, Yeting Du, Zhiqi Liu, Xiangning Li, Xuetong Zhao, Jinsheng Wang, Yinzi Jin, Minghui Ren:
Digital health governance in China by a whole-of-society approach. - Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan:
X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification. - Ben Li, Dylan Powell, Regent Lee:
Commercialization of medical artificial intelligence technologies: challenges and opportunities. - Yuexing Hao, Zhiwen Qiu, Jason Holmes, Corinna E. Löckenhoff, Wei Liu, Marzyeh Ghassemi, Saleh Kalantari:
Large language model integrations in cancer decision-making: a systematic review and meta-analysis. - Abigail Newbury, Ahmed Elhussein, Gamze Gürsoy:
Multi-domain rule-based phenotyping algorithms enable improved GWAS signal. - Ulrike Weirauch, Markus Kreuz, Colin Birkenbihl, Miriam Alb, Maria Quaranta, Laurence Calzone, Sophia Orozco-Ruiz, Stefanie Binder, Luise Fischer, Solène Clavreul, Morine Maguri, Maximilian Ferle, Michael Rade, Guillaume Azarias, Jay R. Hydren, Jakub Jamarik, Daniel Schwarz, Zsolt Sebestyen, Jurgen Kuball, Georg Popp, Chloé Antoine, Manon Knockaert, Clara T. Schoeder, David Fandrei, Carmen Sanges, Vaclovas Radvilas, Nico Gagelmann, Markus Rückert, Olaf Penack, Stephan Fricke, Andreas Schmidt, Carol Ward, Carl Steinbeisser, Anna Niarakis, Laurent Garderet, Michael Hudecek, Thomas Neumuth, Uwe Platzbecker, Ulrike Köhl, Regina Demlova, Andreas Kremer, Stefan Franke, Holger Fröhlich, Maximilian Merz, Kristin Reiche, Jean-Marc Van Gyseghem:
Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies. - Jin Zhang, Wen Wang, Jinhua Dong, Xiong Yang, Shuwei Bai, Jiaqi Tian, Bo Li, Xiao Li, Jianjian Zhang, Hangyu Wu, Xiaoxi Zeng, Yongqiang Ye, Shenghao Ding, Jieqing Wan, Ke Wu, Yufei Mao, Cheng Li, Na Zhang, Jianrong Xu, Yongming Dai, Feng Shi, Beibei Sun, Yan Zhou, Huilin Zhao:
Rapid vessel segmentation and reconstruction of head and neck angiograms from MR vessel wall images. - Ashkan Pirmani, Edward De Brouwer, Adam Arany, Martijn Oldenhof, Antoine Passemiers, Axel Faes, Tomas Kalincik, Serkan Ozakbas, Riadh Gouider, Barbara Willekens, Dana Horáková, Eva Kubala Havrdova, Francesco Patti, Alexandre Prat, Alessandra Lugaresi, Valentina Tomassini, Pierre Grammond, Elisabetta Cartechini, Izanne Roos, Cavit Boz, Raed Alroughani, Maria Pia Amato, Katherine Buzzard, Jeannette Lechner-Scott, Joana Guimarães, Claudio Solaro, Oliver Gerlach, Aysun Soysal, Jens Kuhle, Jose Luis Sanchez-Menoyo, Daniele Spitaleri, Tunde Csepany, Bart Van Wijmeersch, Radek Ampapa, Julie Prevost, Samia J. Khoury, Vincent Van Pesch, Nevin John, Davide Maimone, Bianca Weinstock-Guttman, Guy Laureys, Pamela McCombe, Yolanda Blanco, Ayse Altintas, Abdullah Al-Asmi, Justin Garber, Anneke van der Walt, Helmut Butzkueven, Koen de Gans, Csilla Rozsa, Bruce Taylor, Talal Al-Harbi, Attila Sas, Cecilia Rajda, Orla Gray, Danny Decoo, William M. Carroll, Allan G. Kermode, Marzena Fabis-Pedrini, Deborah Mason, Angel Perez-Sempere, Mihaela Simu, Neil Shuey, Bhim Singhal, Marija Cauchi, Todd A. Hardy, Sudarshini Ramanathan, Patrice Lalive, Carmen-Adella Sirbu, Stella Hughes, Tamara Castillo Trivino, Liesbet M. Peeters, Yves Moreau:
Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data. - Aakriti Pandita, Angela Keniston, Nikhil Madhuripan:
Synthetic data trained open-source language models are feasible alternatives to proprietary models for radiology reporting. - Weiping Wang, Guang Yang, Yulin Liu, Lichun Wei, Xiaoying Xu, Chulong Zhang, Zhaohong Pan, Yongguang Liang, Bo Yang, Jie Qiu, Fuquan Zhang, Xiaorong Hou, Ke Hu, Xiaokun Liang:
Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study. - Jianjie Xu, Zhuo Rachel Han, Xiangxi Lv, Lu Chen, Ningning Mao, Mengyu Miranda Gao, Hanyi Zhang, Yueqin Hu, Shaozheng Qin, James J. Gross, Zhanjun Zhang:
A scalable mental health intervention for depressive symptoms: evidence from a randomized controlled trial and large-scale real-world studies. - Joonchul Shin, Gwang Su Kim, Seongmin Ha, Taehee Yoon, Junwoo Lee, Taehoon Lee, Woong Heo, Kyungyeon Lee, Seong Jun Park, Sunyoung Park, Jaewoo Song, Sunghoon Hur, Hyun-Cheol Song, Ji-Soo Jang, Jin-Sang Kim, Hyo-Il Jung, Chong-Yun Kang:
Artificially intelligent nasal perception for rapid sepsis diagnostics. - Menglin Lu, Yiheng Mao, Hui Zhu, Yesheng Xu, Yu-Feng Yao, Fei Wu, Zhengxing Huang:
Phenotypic screening and genetic insights for predicting major vascular-related diseases using retinal imaging. - Oriol Yuguero, Pere Ruiz-Trujillo, Montse Esquerda, Nuria Terribas, Marta Aymerich:
Applying the principle of justice in digital health. - Xiaoyun Chen, Jiali Liu, Hongli Liang, Zelin Chen, Zitian Liu, Yingfeng Zheng, Zhangkai Lian, Lixia Luo, Weirong Chen, Mingxing Wu, Danying Zheng, Xialin Liu, Bing Cheng, Shengsong Huang, Xinyu Zhang, Ling Jin, Yan Luo, Zhenzhen Liu, Erping Long, Patrick Yu-Wai-Man, Weishi Zheng, Kai Huang, Haotian Lin, Yizhi Liu:
Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization. - Jeffrey David Iqbal, Michael Krauthammer, Claudia M. Witt, Nikola Biller-Andorno, Markus Christen:
A consensus statement on the use of digital twins in medicine. - Michael John Fanous, Christopher Michael Seybold, Hanlong Chen, Nir Pillar, Aydogan Ozcan:
BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images. - Alec J. Calac, Timothy K. Mackey:
A systematic review of responsible stewardship of research and health data from Indigenous communities. - Qiong Wu, Jenna Marie Reps, Lu Li, Bingyu Zhang, Yiwen Lu, Jiayi Tong, Dazheng Zhang, Thomas Lumley, Milou T. Brand, Mui Van Zandt, Thomas Falconer, Xing He, Yu Huang, Haoyang Li, Chao Yan, Guojun Tang, Andrew E. Williams, Fei Wang, Jiang Bian, Bradley A. Malin, George Hripcsak, Martijn J. Schuemie, Yun Lu, Steve Drew, Jiayu Zhou, David A. Asch, Yong Chen:
COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. - Conor Wall, Andrej Kohont, Ziva Kolbl, Alan Godfrey:
Returning to work in the digital age: why smartphone interventions must go further. - Lingzhong Meng, Jiangqiong Li, Xiang Liu, Yanhua Sun, Zuotian Li, Jinjin Cai, Ameya D. Parab, George Lu, Aishwarya Budhkar, Saravanan Kanakasabai, David C. Adams, Ziyue Liu, Xuhong Zhang, Jing Su:
Personalized and real time hemodynamic management in critical care using Dynamic Cohort Ensemble Learning (DynaCEL). - Douglas Teodoro, Nona Naderi, Anthony Yazdani, Boya Zhang, Alban Bornet:
A scoping review of artificial intelligence applications in clinical trial risk assessment. - Jee Young Kim, Alifia Hasan, Jacqueline Kueper, Terence Tang, Chris Hayes, Benjamin Fine, Suresh Balu, Mark P. Sendak:
Establishing organizational AI governance in healthcare: a case study in Canada. - Jingwen Li, Yafang Zhou, Mengjing Zhang, John Adeoye, Jane Jingya Pu, Mimi Zhou, Chuanxia Liu, Lijie Fan, Colman McGrath, Dian Zhang, Liwu Zheng:
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management. - Kimia Heydari, Elizabeth J. Enichen, Ben Li, Joseph C. Kvedar:
Incorporating large language models as clinical decision support in oncology: the Woollie model. - Kyle A. Mani, Samuel N. Goldman, Thomas Scharfenberger, Vishal Shankar, Manish Bhatta, Rafael De la Garza Ramos, Mitchell S. Fourman, Ananth S. Eleswarapu:
Multimodal machine learning for risk-stratified bundled payments in spinal surgery. - Haiyang Yang, Tinglong Dai, Nestoras Mathioudakis, Amy M. Knight, Yuna Nakayasu, Risa M. Wolf:
Peer perceptions of clinicians using generative AI in medical decision-making. - Sookyung Bae, Junho Hong, Sungji Ha, Jiwoo Moon, Jaeeun Yu, Hangnyoung Choi, Junghan Lee, Ryemi Do, Hewoen Sim, Hanna Kim, Hyojeong Lim, Min-Hyeon Park, Eunseol Ko, Chan-Mo Yang, Dongho Lee, Heejeong Yoo, Yoojeong Lee, Guiyoung Bong, Johanna Inhyang Kim, Haneul Sung, Hyo-Won Kim, Eunji Jung, Seungwon Chung, Jung-Woo Son, Jae Hyun Yoo, Sekye Jeon, Hwiyoung Kim, Bung-Nyun Kim, Keun-Ah Cheon:
Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools. - Murih Pusparum, Olivier Thas, Stephan Beck, Simone Ecker, Gökhan Ertaylan:
From ageing clocks to human digital twins in personalising healthcare through biological age analysis. - M. Henar Marino Miguélez, Mohammad Osaid, Erik Hallström, Kerem Kaya, Jimmy Larsson, Vinodh Kandavalli, Carolina Wählby, Johan Elf, Wouter van der Wijngaart:
Culture-free detection of bacteria from blood for rapid sepsis diagnosis. - Si Zhou, Chenchen Guan, Siwei Deng, Yibing Zhu, Wenzhi Yang, Xiao Zhang, Xinrui Wang, Jinying Yang, Shida Zhu, Hui Jiang, Jianguo Zhang, Yongcheng Jin, Danling Cheng, Hai-Xi Sun, Lijian Zhao, Hefeng Huang:
A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction. - Muhammad Waqas Rehan, Muhammad Maaz Rehan:
Survey, taxonomy, and emerging paradigms of societal digital twins for public health preparedness. - Jie Song, Zhichuan Xu, Mengqiao He, Jinhua Feng, Bairong Shen:
Graph retrieval augmented large language models for facial phenotype associated rare genetic disease. - Sahar Abdulrahman, Markus Trengove:
Lessons for synthetic data from care.data's past. - Nate Tran, Tracy L. Luks, Yan Li, Angela Jakary, Jacob Ellison, Bo Liu, Oluwaseun Adegbite, Devika Nair, Pranav Kakhandiki, Annette M. Molinaro, Javier E. Villanueva-Meyer, Nicholas Butowski, Jennifer L. Clarke, Susan M. Chang, Steve Braunstein, Olivier Morin, Hui Lin, Janine M. Lupo:
Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI. - Pengzhan Yin, Jiaqi Wang, Chao Zhang, Yongxiang Tang, Xiankuo Hu, Hongmin Shu, Jun Wang, Bin Liu, Yongqiang Yu, Yunfeng Zhou, Xiaohu Li:
Prediction of functional outcomes in aneurysmal subarachnoid hemorrhage using pre-/postoperative noncontrast CT within 3 days of admission. - Lingbo Liu, Tracy Onega, Erika L. Moen, Anna N. A. Tosteson, Rebecca E. Smith, Qianfei Wang, Lauren Cowan, Fahui Wang:
Digital divides in telehealth accessibility for cancer care in the United States. - Manuel Heinrich, Pavle Zagorscak, Johannes Bohn, Christine Knaevelsrud, Lars Schulze:
Using the ICH estimand framework to improve the interpretation of treatment effects in internet interventions. - Can Li, Qiyun Luo, Hong Wu:
Digital therapeutics for insomnia: an umbrella review and meta-meta-analysis. - Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, Toby Prevost, Lars Fritsche, Kristina Pfau, Maximilian Pfau:
Specialized curricula for training vision language models in retinal image analysis. - Grace Y. E. Kim, Matthew Schwede, Conor K. Corbin, Sajjad Fouladvand, Rondeep Brar, David Iberri, William Shomali, Jean Oak, Dita Gratzinger, Henning Stehr, Jonathan H. Chen:
Real time machine learning prediction of next generation sequencing test results in live clinical settings. - Ziheng Zhao, Yao Zhang, Chaoyi Wu, Xiaoman Zhang, Xiao Zhou, Ya Zhang, Yanfeng Wang, Weidi Xie:
Large-vocabulary segmentation for medical images with text prompts. - Justen R. Geddes, Christopher Jensen, Cyrus Tanade, Arash Ghorbannia, Marat Fudim, Manesh Patel, Amanda Randles:
Digital twins for noninvasively measuring predictive markers of right heart failure. - Yang Liu, Wenbin Yan, Yupei Chen, Jingjing Miao, Hua Zhang, Jingbo Wang, Ye Zhang, Xiaodong Huang, Kai Wang, Yuan Qu, Xuesong Chen, Jianghu Zhang, Jingwei Luo, Ye-Xiong Li, Chong Zhao, Jun Ma, Runye Wu, Junlin Yi:
Treatment response-adapted risk index model for survival prediction and adjuvant chemotherapy selection in nonmetastatic nasopharyngeal carcinoma. - Hadi Modarres, Dimitris Pipinis, Divya Balasubramanian, Rupert Chaplin, Scarlett Kynoch, Achut Manandhar, Gursimran Thandi, Rebecca Cavilla, Emma Hirst-Williams:
Constructing multicancer risk cohorts using national data from medical helplines and secondary care. - Quita Olsen, Amalie Dyda, Leanna Woods, Elton H. Lobo, Rebekah Eden, Michelle A. Krahe, Bernadette Richards, Nalini Pather, Lesley McGee, Clair Sullivan, Jason D. Pole:
Worldwide willingness to share health data high but privacy, consent and transparency paramount, a meta-analysis. - Hong-Jie Dai, Tatheer Hussain Mir, Ching-Tai Chen, Chien-Chang Chen, Hao-Ping Yang, Chung-Hong Lee, Yi-Yun Chou, Yu-Chin Teng, Shalini Gupta, Omkar Panchal, Divyabharathy Ramesh Nadar, Wei-Hsiang Liao, Yu-Chuan Lin, Zi-Rui Zhao, Richard Tzong-Han Tsai, Yung-Chun Chang, Jitendra Jonnagaddala:
Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records. - Yaxuan Wang, Haixia Zhu, Jianlan Ren, Minghua Ren:
Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology. - Jayson S. Marwaha, William Yuan, Mukund Poddar, Pansy Elsamadisi, Gabriel A. Brat:
The algorithmic consultant: a new era of clinical AI calls for a new workforce of physician-algorithm specialists. - Brian J. Wells, Hieu M. Nguyen, Andrew McWilliams, Matt Pallini, Amy Bovi, Andrew Kuzma, Justin Kramer, Shih-Hsiung Chou, Timothy Hetherington, Patricia Corn, Yhenneko J. Taylor, Audrey Cuison, Mary Gagen, McKenzie Isreal, Oguz Akbilgic, Katie Barr, Alicia Bowers, Rikki Caffrey, Michael S. Carroll, Matthew Cirullo, Stephen M. Downs, Natalie Hardy, Jason Heuay, Kristina Katzovitz, Eric Kirkendall, Elsie Lindgren, Lindsey Lonergan, Elissa McKinley, Nicholas M. Pajewski, Laura Sak-Castellano, Erika Setliff, Gabe Wright:
A practical framework for appropriate implementation and review of artificial intelligence (FAIR-AI) in healthcare. - Su Xian, Monika E. Grabowska, Iftikhar J. Kullo, Yuan Luo, Jordan W. Smoller, Theresa L. Walunas, Wei-Qi Wei, Gail P. Jarvik, Sean D. Mooney, David R. Crosslin:
Transformer patient embedding using electronic health records enables patient stratification and progression analysis. - Zerin Nasrin Tumpa, Md Rahat Shahriar Zawad, Lydia Sollis, Shubham Parab, Irene Y. Chen, Peter Washington:
Quantifying device type and handedness biases in a remote Parkinson's disease AI-powered assessment. - Han Yao, Yuanli Liu:
Evolutionary game analysis of healthcare data governance in China's experimental data trading pilots. - Katharina M. Jaeger, Michael Nissen, Heike Leutheuser, Nina Danzberger, Adriana Titzmann, Constanza A. Pontones, Chloë Goossens, Philipp Ziegler, Sabrina Uhrig, Lothar Haeberle, Hannah Bleher, Kristina Kast, Johannes Kornhuber, Oliver Schoeffski, Matthias Braun, Peter A. Fasching, Matthias W. Beckmann, Bjoern M. Eskofier, Hanna Huebner:
Adherence to digital pregnancy care - lessons learned from the SMART start feasibility study. - Yekai Zhou, Ruibang Luo, Joseph Edgar Blais, Kathryn C. B. Tan, David Tak Wai Lui, Kai Hang Yiu, Francisco Tsz Tsun Lai, Eric Yuk Fai Wan, Ching-Lung Cheung, Ian Chi Kei Wong, Celine Sl Chui:
Optimizing long term disease prevention with reinforcement learning: a framework for precision lipid control. - Sunny Chung, Mauro Giuffrè, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Simone Kresevic, Colleen E. Chan, Shinpei Nakamura-Sakai, Kisung You, Theo Saarinen, Allen Hsiao, Ambrose H. Wong, Leigh V. Evans, Terika McCall, René F. Kizilcec, Jasjeet S. Sekhon, Loren Laine, Dennis L. Shung:
Usability and adoption in a randomized trial of GutGPT a GenAI tool for gastrointestinal bleeding. - Ariel Hernán Curiale, Carrie Pistenmaa, Rubén San José Estépar, Alejandro A. Díaz, George R. Washko, Raúl San José Estépar:
Emphysema progression risk in COPD using a localized foundational model of density evolution. - Alex Grafton, Joana M. Warnecke, Maxwell Li, Eric He, Lynn Thomson, Kathryn Beardsall, Joan Lasenby:
Neonatal pose estimation in the unaltered clinical environment with fusion of RGB, depth and IR images. - Chris Varghese, Luke Peters, Lorane Gaborit, William Xu, Aya Basam, Melissa Park, Cameron Wells, Kenneth A. McLean, Gabriel Schamberg, Greg O'grady, Deborah Wright, Jennifer Martin, Ewen Harrison, Peter Pockney, TASMAN Collaborative:
Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model. - Xinjian Chen, Jingtao Wang, Tianwei Qian, Jingcheng Wang, Yiming Ding, Su Zhang, Jingjing Liao, Qian Cheng, Ting Yang, Muhammad Mateen, Yu Fan, Zongming Song, Jili Chen, Suyan Li, Jianmin Hu, Wentao Yan, Haoyu Chen, Wencan Wu, Jing Huang, Tien Yin Wong, Xun Xu:
An artificial intelligence cloud platform for OCT-based retinal anomalies screening system in real clinical environments. - Yuanyuan Zheng, Adel Bensahla, Mina Bjelogrlic, Jamil Zaghir, Hugues Turbé, Lydie Bednarczyk, Christophe Gaudet-Blavignac, Julien Ehrsam, Stéphane Marchand-Maillet, Christian Lovis:
Author Correction: A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data. - Toshi A. Furukawa, Hisashi Noma, Aran Tajika, Rie Toyomoto, Masatsugu Sakata, Yan Luo, Masaru Horikoshi, Tatsuo Akechi, Norito Kawakami, Takeo Nakayama, Naoki Kondo, Shingo Fukuma, James M. S. Wason, Ronald C. Kessler, Wolfgang Lutz, Pim Cuijpers:
Personalised & optimised therapy (POT) algorithm using five cognitive and behavioural skills for subthreshold depression. - Xiaoli Liu, Wesley Yeung, Ziyue Chen, Sicheng Hao, Zhicheng Yang, Xiaowei Sun, Chao Liu, Zhi Mao, Muyang Yan, Wei Yan, Desen Cao, Mengling Feng, Deyu Li, Zhengbo Zhang, Leo Anthony Celi:
GRACE-ICU: A multimodal nomogram-based approach for illness severity assessment of older adults in the ICU. - Cindy Welzel, Max Ostermann, Hannah Louise Smith, Timo Minssen, Toralf Kirsten, Stephen Gilbert:
Enabling secure and self determined health data sharing and consent management. - R. Patrick Xian, Noah R. Baker, Tom David, Qiming Cui, A Jay Holmgren, Stefan Bauer, Madhumita Sushil, Reza Abbasi-Asl:
Robustness tests for biomedical foundation models should tailor to specifications. - Alexandra Dahlberg, Sakari Jukarainen, Taavi Kaartinen, Petja Orre:
Cost minimization analysis of digital-first healthcare pathways in primary care. - Cécile Trottet, Manuel Schürch, Ahmed Allam, Liubov Petelytska, Ivan Castellví, Radim Becvár, Jeska de Vries-Bouwstra, Florenzo Iannone, Patricia Carreira, Marie-Elise Truchetet, Giovanna Cuomo, Elena Rezus, Francesco Paolo Cantatore, Carmen Pilar Simeón-Aznar, Magda Parvu, Marta Dzhus, Oliver Distler, Anna-Maria Hoffmann-Vold, Michael Krauthammer, EUSTAR collaborators:
Deep hierarchical subtyping of multi-organ systemic sclerosis trajectories - a EUSTAR study. - Simeone Marino, Ruth Cassidy, Joseph Nanni, Yuxuan Wang, Yipeng Liu, Mingyi Tang, Yuan Yuan, Toby Chen, Anik Sinha, Balaji Pandian, Ivo D. Dinov, Michael L. Burns:
Medical data sharing and synthetic clinical data generation - maximizing biomedical resource utilization and minimizing participant re-identification risks. - Yu-San Tee, Jen-Fu Huang, Yu-Ting Huang, Chi-Po Hsu, Huan-Wu Chen, Chi-Hsun Hsieh, Chih-Yuan Fu, Chi-Tung Cheng, Chien-Hung Liao:
Comparative analysis of AI support levels in clinical interpretation of traumatic pelvic radiographs. - Sandersan Onie, Matthew J. Coleshill, Michelle Torok, Venkatesha, Fiona Shand, Mark E. Larsen:
Rethinking suicide related searches and their association with suicide rates, attempts, and self harm hospitalisation. - Virginia Sun, Yi Xiao, Shanpeng Li, Joycelynne Palmer, Calvin P. Tribby, Tracy E. Crane, Laleh Melstrom, Thanh Dellinger, Bertram Yuh, Dan Raz, Enrique Cota-Robles, Linda Cota-Robles, Margaret Nolde, Betty Ferrell, Yuman Fong:
Comparative effectiveness of remote perioperative telemonitoring in cancer surgery: a randomized trial. - Robert Ranisch, Joschka Haltaufderheide:
Foundation models in medicine are a social experiment: time for an ethical framework. - Rui Liu, Ximan Hou, Shuyu Liu, Yuan Zhou, Jingjing Zhou, Kaini Qiao, Han Qi, Ruinan Li, Zhi Yang, Ling Zhang, Jian Cui, Cheng Jin, Aihong Yu, Gang Wang:
Predicting antidepressant response via local-global graph neural network and neuroimaging biomarkers. - Julia Ive, Olatomiwa Olukoya, Jonathan P. Funnell, James Booker, Sze H. M. Lam, Ugan Reddy, Kawsar Noor, Richard J. B. Dobson, Astri M. V. Luoma, Hani J. Marcus:
AI assisted prediction of unplanned intensive care admissions using natural language processing in elective neurosurgery. - Rabie Adel El Arab, Omayma Abdulaziz Al Moosa:
Systematic review of cost effectiveness and budget impact of artificial intelligence in healthcare. - Safa Elkefi, Polly Wu, Roa Sabra, Steven Feiner, Lanyi Chen, Guy C. Hembroff, Alicia K. Matthews:
Systematic review on the technology's role in supporting lung cancer patients in the treatment journey. - Zifeng Wang, Lang Cao, Benjamin P. Danek, Qiao Jin, Zhiyong Lu, Jimeng Sun:
Accelerating clinical evidence synthesis with large language models. - Luyao Wang, Chenhan Wang, Chenyang Li, Toshiya Murai, Yicai Bai, Ziyan Song, Shuoyan Zhang, Qi Zhang, Yu Huang, Xiaoying Bi, Jiehui Jiang:
AI-assisted multi-modal information for the screening of depression: a systematic review and meta-analysis. - Lea Haag, Georg Starke, Markus Ploner, Marcello Ienca:
Ethical gaps in closed-loop neurotechnology: a scoping review. - Junjie Kuang, Guofang Zhong, Linfeng Zhao, Xia Yuan, Yundong Zhou, Jun Li:
Machine learning analysis reveals tumor heterogeneity and stromal-immune niches in breast cancer. - Rumeng Li, Xun Wang, Dan Berlowitz, Jesse Mez, Honghuang Lin, Hong Yu:
CARE-AD: a multi-agent large language model framework for Alzheimer's disease prediction using longitudinal clinical notes. - Ke Zhang, Jiajia He, Weiyue Ji, Qunyan Pan, Weilv Xiong, Liping Wang, Weiqi Sun, Liting Xie, Tianan Jiang:
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study. - Hejie Cui, Alyssa Unell, Bowen Chen, Jason Alan Fries, Emily Alsentzer, Sanmi Koyejo, Nigam H. Shah:
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records. - Minjoo Hwang, Vega Pradana Rachim, Junyoung Yoo, Yein Lee, Sung-Min Park:
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality. - Maksym Bondarenko, Carlo Menon, Mohamed Elgendi:
Demographic bias in public remote photoplethysmography datasets. - Xiaodong Wang, Xiaohui Lv, Jingwen Wang, Lulu Zou, Zijun Chen, Ruiyu Zhao, Lisha Zhao, Min Zhao, Xinlei Zhang, Boan Zhang, Jiahao Zhang, Yiteng Zhu, Xin Shi, Yan'e Gao, Minghui Liu, Lirong Ai, Liming Wang, Xiyang Liu, Hong Yang:
A multimodal uncertainty-aware AI system optimizes ovarian cancer risk assessment workflow. - Dario Baretta, Sarah Koch, Joren Buekers, Judith Garcia-Aymerich, Lenka Knapova, Steriani Elavsky, Job G. Godino, Merlijn Olthof, Anna Lichtwarck-Aschoff, Ruud den Hartigh, Guillaume Chevance:
Predicting recovery after stressors using step count data derived from activity monitors. - Ben J. Marafino, Colleen Plimier, Patricia Kipnis, Gabriel J. Escobar, Laura C. Myers, Michelle C. Donnelly, John D. Greene, Marc D. Flagg, Jessica R. Small, Vincent X. Liu:
Expanding care coordination in an integrated health system through causal machine learning. - Yue Zhang, Jonathan Martinez, Bahar Tercan, Heikki Kuusanmäki, Frank Emmert-Streib, Jerome G. Chandraseelan, Amer Farea, Olli Yli-Harja, Caroline A. Heckman, David L. Gibbs, Vesteinn Thorsson, Ilya Shmulevich, Mika Kontro, Guangrong Qin, Boris Aguilar:
Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia. - Dongsheng Han, Chang Liu, Bin Yang, Fei Yu, Huifang Liu, Bin Lou, Yifei Shen, Hui Tang, Hua Zhou, Shufa Zheng, Yu Chen:
Metagenomic fingerprints in bronchoalveolar lavage differentiate pulmonary diseases. - Michael L. Burns, Ssu-Ying Chen, Chu-An Tsai, John Vandervest, Balaji Pandian, Paige Nong, David A. Hanauer, Andrew Rosenberg, Jodyn Platt:
Generative AI costs in large healthcare systems, an example in revenue cycle. - William J. Bosl, Michelle Bosquet Enlow, Charles A. Nelson:
A dynamical systems framework for precision psychiatry. - Hyeokjong Lee, Jaewon Kim, Sangmin Kwak, Azka Rehman, Sang Min Park, Jooyoung Chang:
Optimizing retinal images based carotid atherosclerosis prediction with explainable foundation models. - Brant H. Tudor, Ryan Shargo, Geoffrey M. Gray, Jamie L. Fierstein, Frederick H. Kuo, Robert Burton, Joyce T. Johnson, Brandi B. Scully, Alfred Asante-Korang, Mohamed A. Rehman, Luis M. Ahumada:
A scoping review of human digital twins in healthcare applications and usage patterns. - Soumik Mandal, Batia Mishan Wiesenfeld, Adam Szerencsy, William R. Small, Vincent J. Major, Safiya Richardson, Antoinette M. Schoenthaler, Devin M. Mann, Oded Nov:
Utilization of Generative AI-drafted Responses for Managing Patient-Provider Communication. - Nana Yaw Aboagye, Chloe Hinchliffe, Silvia Del Din, Wan-Fai Ng, Kenneth F. Baker, Mark R. Baker:
Systematic review: digital biomarkers of fatigue in chronic diseases. - Maxim Topaz, Laura-Maria Peltonen, Zhihong Zhang:
Beyond human ears: navigating the uncharted risks of AI scribes in clinical practice. - Katarzyna Borys, Johannes Haubold, Julius Keyl, Maria A. Bali, Riccardo De Angelis, Kévin Brou Boni, Nicolas Coquelet, Judith Kohnke, Giulia Baldini, Lennard Kroll, Sara Schramm, Andreas Stang, Eugen Malamutmann, Jens Kleesiek, Moon S. Kim, Stefan Kasper, Jens T. Siveke, Marcel Wiesweg, Anja Merkel-Jens, Benedikt M. Schaarschmidt, Viktor Grünwald, Sebastian Bauer, Arzu Oezcelik, Servet Bölükbas, Ken Herrmann, Rainer Kimmig, Stephan Lang, Jürgen Treckmann, Martin Stuschke, Boris Hadaschik, Lale Umutlu, Michael Forsting, Dirk Schadendorf, Christoph M. Friedrich, Martin Schuler, René Hosch, Felix Nensa:
Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification. - Taylor B. Harrison, Jessica A. Sinclair, Lisa J. Martin, Kristin Childers-Buschle, Holly Elder, Sunyang Fu, Hongfang Liu, William B. Brinkman, Melanie F. Myers, Michelle L. McGowan:
Representation is power: traditional, hybrid, and digital recruitment results from a non-randomized clinical trial engaging adolescents. - Seung Seog Han, Soo Ick Cho, Fabian Gröger, Alexander A. Navarini, Myoung Shin Kim, Dong Hun Lee, Ju Hee Lee, Jihee Kim, Chong Hyun Won, Kyung-Nam Bae, Jee-Bum Lee, Hyun-Sun Yoon, Sung Eun Chang, Seong Hwan Kim, Jung-Im Na, Cristian Navarrete-Dechent:
Planet-wide performance of a skin disease AI algorithm validated in Korea. - Dong Yeong Kim, Ryemi Do, Youmin Shin, Hewoen Sim, Hanna Kim, Sungchul Cho, Geonhee Lee, Seyeon Park, Boa Jang, Hyojeong Lim, Sungji Ha, Jaeeun Yu, Hangnyoung Choi, Junghan Lee, Min-Hyeon Park, Ayeong Cho, Chan-Mo Yang, Dongho Lee, Heejeong Yoo, Yoojeong Lee, Guiyoung Bong, Johanna Inhyang Kim, Haneul Sung, Hyo-Won Kim, Eunji Jung, Seungwon Chung, Jung-Woo Son, Jae Hyun Yoo, Sekye Jeon, Jinseong Jang, You Bin Lim, Jeeyoung Chun, Wooseok Choi, Sooyeon Lee, Sohyun Park, Jisung Ahn, Chae Rim Lee, Keun-Ah Cheon, Young-Gon Kim, Bung-Nyun Kim:
Automated AI based identification of autism spectrum disorder from home videos. - Arnaud Champetier, Pedro Lopez-Ayala, Christian Puelacher, Koray Durak, Emel Kaplan, Danielle Gualandro, Noemi Glarner, Mirjam Pargger, Gabrielle Huré, Katrin Burri-Winkler, Daniel Bolliger, Luzius A. Steiner, Stefan Schären, Edin Mujagic, Martin Clauss, Andreas M. Mueller, Didier Lardinois, Jasper Boeddinghaus, Felix Mahfoud, Ivo Strebel, Christian Mueller:
External validation of PreOpNet to predict 30-day mortality after major non-cardiac surgery using digital electrocardiogram. - Ying Zhang, Fangdie Ye, Xiaofeng Yu, Xin Lian, Tianlong Jiang, Liyu Yang, Lei Yang:
Embedded framework for clinical medical image segment anything in resource limited healthcare regions. - Haoran Cheng, Joy Le Yi Wong, Chrystie Wan Ning Quek, Jeffrey L. Goldberg, Vinit B. Mahajan, Tien Yin Wong, Jodhbir S. Mehta, Daniel S. W. Ting, Darren S. J. Ting:
Ophthalmic drug discovery and development using artificial intelligence and digital health technologies. - Yafei Si, Yurun Meng, Xi Chen, Ruopeng An, Limin Mao, Bingqin Li, Hazel Bateman, Han Zhang, Hongbin Fan, Jiaqi Zu, Shaoqing Gong, Zhongliang Zhou, Yudong Miao, Xiaojing Fan, Gang Chen:
Quality safety and disparity of an AI chatbot in managing chronic diseases: simulated patient experiments. - Iván López, David E. Velasquez, Jonathan H. Chen, Jorge A. Rodríguez:
Operationalizing machine-assisted translation in healthcare. - Monica Agrawal, Irene Y. Chen, Freya Gulamali, Shalmali Joshi:
The evaluation illusion of large language models in medicine. - Jie Song, Zhichuan Xu, Mengqiao He, Jinhua Feng, Bairong Shen:
Publisher Correction: Graph retrieval augmented large language models for facial phenotype associated rare genetic disease. - Xiaohan Yuan, Chengwei Chen, Zhang Shi, Wenbin Liu, Xinyue Zhang, Ming Yang, Mengmeng Zhu, Jieyu Yu, Fang Liu, Jing Li, Yunshuo Zhang, Hui Jiang, Bozhu Chen, Jianping Lu, Chengwei Shao, Yun Bian:
Deep learning CT model for stratified diagnosis of pancreatic cystic neoplasms: multicenter development, validation, and real-world clinical impact. - Samantha Weber, Nicolas Deperrois, Robert Heun, Laura Frühschütz, Anna Monn, Stephanie Homan, Andrea Häfliger, Erich Seifritz, Tobias Kowatsch, Lena Jäger, Katharina Schultebraucks, Sapir Gershov, Jacopo Mocellin, Birgit Kleim, Sebastian Olbrich:
Using a fine-tuned large language model for symptom-based depression evaluation. - Sujeong Hur, Yura Lee, Joongheum Park, Yeong Jeong Jeon, Jong Ho Cho, Duck Cho, Dobin Lim, Wonil Hwang, Won Chul Cha, Junsang Yoo:
Comparison of SHAP and clinician friendly explanations reveals effects on clinical decision behaviour. - Lauren Zhou, Michele Joseph, Yoon Jae Lee, Diva Yadav, Likhit K. Nayak, Julia Woodall, Jared Matthews, Ira Soltis, Firehiwot Markos Mekuria, Kullehe Haddis Yeshanew, Yonas Kebede Mamo, Abebaw Fekadu, Asrat Demtse, Rudolph L. Gleason, Woon-Hong Yeo:
Soft, all-in-one, nanomembrane wearable system for advancing neonatal health monitoring in Ethiopia. - Nikita Makarov, Maria Bordukova, Papichaya Quengdaeng, Daniel Garger, Raul Rodriguez-Esteban, Fabian Schmich, Michael P. Menden:
Large language models forecast patient health trajectories enabling digital twins. - Xinwei Chen, Yahan Yang, Dongyuan Yun, Ruixin Wang, Yuanfan Lin, Mingjie Luo, Weixing Zhang, Patrick Yu-Wai-Man, Matthew Burton, Lingyi Liang, Haotian Lin:
Current status and solutions for AI ethics in ophthalmology: a bibliometric analysis. - Cameron Kirk, Emma Packer, Ashley Polhemus, Mhairi K. Maclean, Harry Bailey, Felix Kluge, Heiko Gaßner, Lynn Rochester, Silvia Del Din, Alison J. Yarnall:
A systematic review of real-world gait-related digital mobility outcomes in Parkinson's disease. - Hyun-Kyu Yoon, Bo Rim Kim, Hyo Young Kim, Dae Keun Park, Hyo Sung Kim, Hye-Yeon Cho, Hyung-Chul Lee, Hyeonhoon Lee:
Multicenter validation of a scalable, interpretable, multitask prediction model for multiple clinical outcomes. - Zhongnan Fang, Andrew Johnston, Lina Cheuy, Hye Sun Na, Magdalini Paschali, Camila González, Bonnie A. Armstrong, Arogya Koirala, Derrick Laurel, Andrew Campion, Michael Iv, Akshay S. Chaudhari, David B. Larson:
Automated real-time assessment of intracranial hemorrhage detection AI using an ensembled monitoring model (EMM). - Adrien Choi, Danielle Lottridge, Jim Warren:
Personalised modelling of routine variability and affective states. - Anna-Carlotta Zarski, Kiona K. Weisel, Thomas Berger, Tobias Krieger, Michael P. Schaub, Matthias Berking, Dennis Görlich, Corinna Jacobi, Rosa María Baños, Cristina Botella, Rocio Herrero, David D. Ebert:
Internet-based indicated prevention of anxiety and depression disorder onset three-arm randomized clinical trial. - José Morano, Botond Fazekas, Emese Sükei, Ronald Fecso, Taha Emre, Markus Gumpinger, Georg Faustmann, Marzieh Oghbaie, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis. - Farzad Shahabi, Boyang Wei, Christopher Romano, Rowan McCloskey, Annie W. Lin, Mahdi Pedram, Jacob M. Schauer, Tammy Stump, Nabil Alshurafa:
Unveiling overeating patterns within digital longitudinal data on eating behaviors and contexts. - Yanzhi Zhang, Xiaoxue Du, Sijia Cai, Yiming Cao, Dan Zhao, Weibo Xu, Tian Liao, Ning Qu, Rongliang Shi, Qinghai Ji, Ben Ma, Yu Wang:
Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling. - Benjamin W. Nelson, Ari Winbush, Steven Siddals, Matthew Flathers, Nicholas B. Allen, John B. Torous:
Evaluating the performance of general purpose large language models in identifying human facial emotions. - Yixuan Huang, Puneet Sharma, Anil Palepu, Nathaniel Greenbaum, Andrew Beam, Kristyn Beam:
NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs. - Jiyeong Kim, Stephen P. Ma, Michael L. Chen, Isaac R. Galatzer-Levy, John B. Torous, Peter J. van Roessel, Christopher D. Sharp, Michael A. Pfeffer, Carolyn I. Rodriguez, Eleni Linos, Jonathan H. Chen:
Optimizing large language models for detecting symptoms of depression/anxiety in chronic diseases patient communications. - Cassandra W. Cu, Nicole E. Dundas, Timothy Heintz, Zahida A. Sheikh, Bianca Alonso-Bermudez, Jasmine Walker, Avery Wooten, Anusha Badathala, Allyson Chapman, Odinakachukwu Ehie, Karthik Raghunathan, Hunter Mills, Edie Espejo, John Boscardin, Arthur W. Wallace, Julien Cobert:
Validity of two subjective skin tone scales and its implications on healthcare model fairness. - Arjun Mahajan, Dylan Powell:
Transforming healthcare delivery with conversational AI platforms. - Sai Chandra Kosaraju, Sai Phani Parsa, Dae Hyun Song, Hyo Jung An, Yoon-La Choi, Joungho Han, Jung Wook Yang, Mingon Kang:
Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images. - Sonali Sharma, Ahmed M. Alaa, Roxana Daneshjou:
A longitudinal analysis of declining medical safety messaging in generative AI models.
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