AI in IBD care: How Dr. Hwang's team is leading the way

It is exciting to see how AI is opening a new frontier in osteoporosis care with opportunistic screening. NYU researchers are now using routine CT scans—taken for other reasons—to detect osteoporosis early, before fractures occur. The opportunity is massive. 1 in 2 women over 50 will suffer an osteoporosis-related fracture, driving nearly $50B annually in healthcare costs. Yet detection and diagnosis are low and late and and treatment rates have fallen below 10%. AI-driven early detection can potentially change that—identifying patients earlier, improving outcomes, and creating space for innovation in prevention and treatment. But detection is only half the equation. To truly move the needle, patients also need safe, effective, scalable, long-term solutions—which is why we developed Osteoboost Health, the first FDA-approved, non-drug option for long-term bone strength. This is what disruption in women’s health looks like: pairing breakthrough detection with breakthrough solutions. Read more: STAT News https://lnkd.in/gQDy7efh

Personalized Medicine --- Because No Two Bodies Are the Same I’ve been reading a lot lately about personalized medicine, and it’s honestly something that excites me more than any breakthrough headline. What if treatments weren’t “one-size-fits-all” like mass-produced clothes but instead tailored specifically to how your body works? It’s already happening especially in oncology, where cancer patients are prescribed drugs based on their DNA profile, helping doctors target the exact mutations causing the disease. This approach is changing the way people experience healthcare: ✔ It’s more effective since patients no longer have to try multiple treatments before finding the right one. ✔ It reduces side effects because therapies are fine-tuned to individual needs. ✔ It’s faster and smarter data-driven solutions are helping doctors make better decisions. For me, this isn’t just a technical advancement it’s deeply personal. We all know how exhausting it is when something feels “off,” and the standard treatment protocols don’t help. Personalized medicine feels like someone finally listening to you, not just treating symptoms. Companies are already investing in genetic testing, wearable devices, and AI tools that analyze patient data to create customized care plans. But beyond technology, it’s a mindset shift treating patients as unique individuals, not case numbers. If we approach healthcare this way, I believe it’s not just about curing diseases it’s about respecting people’s lives and experiences. How do you feel about treatments designed specifically for you? Would you trust technology-driven healthcare or do you still worry about it being too impersonal? NIH – What is Personalized Medicine? FDA – Personalized Medicine and Genomics Nature – How Genomics is Transforming Cancer Treatment WHO – Genomics and Personalized Health #PersonalizedMedicine #HealthcareInnovation #PatientCare #Oncology #Genetics #SmartHealthcare #AIinMedicine #WorkLifeBalance #SelfCare #HealthTech #FutureOfMedicine image is ai generated

AI in Healthcare Google’s AI system achieved 97% accuracy in detecting diabetic retinopathy during clinical trials. Why this matters: • Diabetic retinopathy is the leading cause of blindness among working-age adults. • Millions of people lack access to trained ophthalmologists, especially in rural areas. • AI can expand early screening, empower frontline clinics, and save vision on a global scale. At Respocare Insights, we believe breakthroughs like this represent the true value of AI in healthcare — not hype, but tangible improvements in patient outcomes. 👉 Would you feel confident if AI was the first to screen your eyes? #DigitalHealth #AIinHealthcare #RespocareInsights #Innovation

🔬 𝗔𝗜 𝗶𝗻 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰𝘀: 𝗨𝗻𝘂𝘀𝗲𝗱 𝗗𝗮𝘁𝗮 𝗜𝘀 𝗮 𝗠𝗶𝘀𝘀𝗲𝗱 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 Over 375 million CT scans are performed globally each year — many focused on abdominal imaging. Yet after use, most are left idle on hospital servers, untapped. Emerging AI models now transform those dormant scans into life-saving signals. 🚫 𝗧𝗵𝗲 𝗛𝗶𝗱𝗱𝗲𝗻 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: • Traditional coronary CT scans are costly and often not reimbursed. • Meanwhile, cardiovascular disease continues to be a top global cause of death — frequently undetected until it’s too late. ✅ 𝗔 𝗡𝗲𝘄 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: AI-enabled opportunistic screening now offers a breakthrough: ▶️ Developed at NYU Langone Health, a system was trained on 3,600+ prior CT scans to detect aortic calcification, an early marker for serious heart disease. 🏥 According to the study (RSNA 2024), those with calcium buildup were 2.2x more likely to experience a major cardiovascular event within 3 years. ✅ 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲 𝗶𝗻 𝗔𝗰𝘁𝗶𝗼𝗻: 🔍 AI scans existing abdominal CTs, looking for aortic calcium 📊 Assigns a calcium score correlated with risk ⚡ Requires no new imaging, no patient re-entry 💡 Enables proactive treatment pathways through early alerts ✅ 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀: • 29% of patients in the study had early signs that were missed during original interpretation • Systematic AI reviews are cost-effective, scalable, and highly predictive 🧠 𝗕𝗲𝘆𝗼𝗻𝗱 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗨𝘁𝗶𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 The principle extends far outside the clinic: When existing data is overlooked, potential remains locked away. Whether in medicine or data-driven industries, unlocking value from past assets is now a defining AI strategy. For organizations working with large-scale datasets, AI models require clean, complete access. That’s where residential proxy networks play a pivotal role. 🔗 Providers like NetNut.io help ensure reliable data access — especially when aggregating information from global, public, or distributed sources. #ArtificialIntelligence #HealthcareInnovation #DataScience #Cardiology #MedicalAI #NetNut #CTScan #OpportunisticScreening #NYULangone

Medical knowledge changes every 73 days. 30,000 cancer trials run simultaneously. Community oncologists face impossible odds staying current. As someone in tech, I understand information overload. But in oncology? It's literally life or death. Dr. Brian Mulherin's insights hit hard. Community oncologists are "uniquely vulnerable" to missing critical updates. The sheer volume is staggering. AI is stepping in as a digital safety net: •ChatGPT-4.0 and Llama 2 show real clinical potential •AI systems can identify care gaps across patient populations •One practice boosted genetic testing rates from 87% to 99% using AI prompts The parallels to software development are striking. We use automated testing and CI/CD pipelines to catch gaps. Healthcare is adopting similar systematic approaches. But gaps remain. OpenEvidence can't access NCCN guidelines despite pulling from medical sources. It's like having access to Stack Overflow but not official documentation. The future isn't AI replacing doctors. It's AI amplifying human expertise. Physicians get real-time prompts about treatment options based on biomarker results. Quality improves. Access becomes more equitable. This collaboration model could transform how we approach any knowledge-intensive field. What other industries could benefit from AI-powered knowledge management systems? #AI #Healthcare #TechInnovation 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/dBVNkDfU

“Our product absolutely relies on taking advantage of where the world of AI is going,” Insulet CEO Ashley McEvoy says. At The MedTech Conference, she explained the automated insulin delivery system maker's approach to AI across the company and how the technology could play a role in changing human behavior in #diabetes management. More at Drug Delivery Business News: https://lnkd.in/eskbJ5Gv #medtech #medicaldevices #insulin #automatedinsulindelivery #insulinpumps #AI #artificialintelligence #MTC2025

The Digital Pathology Market is projected to grow significantly, reaching $3.86 billion by 2033. This growth is driven by the adoption of AI-powered diagnostics, telepathology solutions, and digital workflows in healthcare. Key players like PathAI and Philips are expanding their AI-enabled platforms across major hospital networks. The U.S. and Japan are leading the market due to high cancer rates and supportive regulatory environments. Read more: https://lnkd.in/gG-jcuRM 📰 Subscribe to the Life AI Weekly Newsletter: https://lnkd.in/eC5-u69w #ai #artificialintelligence #ainews #aifunding #healthcareai

Most leaders see AI as a future goal. But healthcare’s next chapter is already here. In just the past few weeks, 10 new AI tools have launched, each reshaping how we diagnose, monitor, and care for patients. These aren’t prototypes, they’re live, regulated, and ready. From AI ultrasound for pregnancy to chronic kidney prediction, clinical-trial optimization, and behavioral health screening, the shift is undeniable. What this signals: ✔️ Diagnostics are getting earlier and more precise ✔️ Clinical workflows are turning proactive ✔️ Decision-making is moving from guesswork to real-time data ✔️ AI is scaling beyond radiology into every specialty The question is no longer if AI will transform care, It’s how fast your organization will adapt. 📌 Save this carousel to track the latest AI launches. 🔔 Follow Rizwan Tufail for frameworks on safe, strategic AI adoption in healthcare.

Most leaders see AI as a future goal. But healthcare’s next chapter is already here. In just the past few weeks, 10 new AI tools have launched, each reshaping how we diagnose, monitor, and care for patients. These aren’t prototypes, they’re live, regulated, and ready. From AI ultrasound for pregnancy to chronic kidney prediction, clinical-trial optimization, and behavioral health screening, the shift is undeniable. What this signals: ✔️ Diagnostics are getting earlier and more precise ✔️ Clinical workflows are turning proactive ✔️ Decision-making is moving from guesswork to real-time data ✔️ AI is scaling beyond radiology into every specialty The question is no longer if AI will transform care, It’s how fast your organization will adapt. 📌 Save this carousel to track the latest AI launches. 🔔 Follow Rizwan Tufail for frameworks on safe, strategic AI adoption in healthcare.