Innovations That Will Shape Digital Health

Digital Health in Health Assessment & Medical Diagnostics Global Startups Landscape 2.5Q 2024 is evolving rapidly, driven by AI-powered innovations across various medical fields. AI-Driven Diagnostics: AI is at the forefront of medical diagnostics. Startups like Aiberry (mental health) and Aidoc (cardiovascular health) are using AI to analyze data in real-time, improving early diagnosis and decision-making. These technologies offer non-invasive, faster, and more accurate assessments than traditional methods. Medical Imaging and Radiology: AI-powered imaging is a key area, with startups like Aidence (lung cancer screening) and Paige (digital pathology) leading the way in enhancing radiological diagnostics. These companies are pushing the boundaries of precision medicine, improving early detection and workflow efficiencies for radiologists and pathologists alike. Portable and Wearable Devices: Portable and wearable diagnostic tools are gaining prominence, exemplified by Butterfly Network, Inc. (handheld ultrasound) and Hyperfine, Inc. (portable MRI). These startups are making high-quality medical imaging more accessible, especially in underserved regions. Predictive and Personalized Medicine: Companies like Cardiosense (cardiovascular health) and Freenome (cancer detection) are leveraging multi-sensor devices and AI to predict disease onset, providing personalized treatment recommendations. This shift toward predictive healthcare is reshaping patient care, enabling more proactive intervention strategies. Voice and Speech Biomarkers: In mental health, companies like Sonde Health, Inc. and Kintsugi are innovating by using voice technology to detect signs of depression and anxiety, proving the versatility of AI in mental health diagnostics and offering real-time mental health assessments. Women’s Health: LEVY Health (endocrine disorders and fertility), Sonio (prenatal ultrasound), and Nevia bio (early disease detection) are advancing women’s health diagnostics, focusing on reproductive and prenatal health through AI-powered decision support platforms. Cross-Specialty Diagnostics: Startups such as Viz.ai and PathAI provide cross-specialty diagnostic tools, focusing on synchronizing care in fields like neurology and pathology. Viz.ai facilitates faster stroke care with its AI-driven platform, whereas PathAI uses AI to enhance diagnostic accuracy in pathology, especially in cancer diagnostics. Global startups in this space are attracting significant investments, with companies like Aidoc raising substantial funds to expand their platforms to more conditions and regions. Achieving CE marking and FDA clearances, as seen with companies like Ultromics, is essential for global expansion and validation. #DigitalHealth #Healthcare #Assessment #Medical #Diagnostics #AIinHealthcare 

7 Key Digital Health Therapy Developments So Far This Month: 📲 MEDICE - The Health Family acquires Selfapy, integrating its online psychotherapy courses into a multimodal approach combining pharmaceuticals, digital solutions, and nutrition. Selfapy, which accounts for 20% of Germany’s listed digital mental health apps, aims to expand access through MEDICE’s clinical network 📲 A recent study found that integrating Bluetooth-connected OneTouch blood glucose meters with digital health apps like Noom, Fitbit (now part of Google), Cecelia Health, and Welldoc led to an average A1c reduction of 0.77% over three months in individuals with type 2 diabetes, suggesting that smart glucose monitoring combined with digital therapeutics can significantly improve glycemic control 📲 Strolll ’s AR glasses gamify physiotherapy for neurological disorders like Parkinson’s, stroke, and multiple sclerosis, improving mobility and adherence to treatment. Backed by clinical trials, the technology has secured £10.35m in funding 📲 A new study on the More Stamina app shows its potential to help MS patients manage fatigue by tracking energy levels and improving daily planning. Over 60 days, users reported greater self-awareness and better communication with family and healthcare providers 📲 YBRAIN’s MINDD STIM, a non-invasive neuromodulation device for depression, showed promising early results in a clinical study on perinatal depression, with significant symptom reduction after six weeks. With antidepressants often avoided in pregnancy, MINDD STIM could provide a safe, drug-free option 📲 MedRhythms, Inc. has secured FDA listing for Movive™, a prescription digital therapeutic that uses rhythmic music and sensor-based feedback to support gait rehabilitation in Parkinson’s patients, bringing clinically validated neuro music therapy into the home for broader, easier access 📲 Sidekick Health launches MENO! App, a CE-marked digital therapeutic for menopause, offering cognitive behavioral therapy as a non-hormonal alternative to hormone therapy. A 12-week clinical study in Germany aims to validate its effectiveness 👇Links to relevant articles in comments below #DigitalHealth #DTx

Healthcare is drowning in data. (We're at zettabytes.) But according to AMA's VP of Digital Health Innovation, that's exactly why AI's role is about to change fundamentally in 2025. Instead of generating more data, AI will finally solve healthcare's information crisis: Getting the right insights to the right person at exactly the right time. Organizations will shift from just data collection to intelligent data delivery. The AMA is releasing an AI governance toolkit to help organizations integrate these capabilities effectively. The focus isn't on just adopting all the latest technology but on implementing solutions that make data actionable. Routine operational tasks like documentation, communication, chart summarization, and follow-ups will be transformed through intelligent automation. Healthcare providers will spend less time searching for information and more time using it. Most importantly, these capabilities won't be limited to major hospital systems. We'll see the democratization of these tools, from large networks to small practices. A special thanks to Margaret Lozovatsky, MD, FAMIA for these valuable insights. As someone who's been building AI solutions in healthcare since 2016, I couldn't agree more with her vision. The pace of innovation we're seeing now is different. Behind the noise, we're finally getting closer to what matters most: Delivering better patient care by making data truly actionable. This has been our mission at Patient Prism from day one. And that's what gets me excited. How about you? #ai #automation #healthcare #data #healthtech

🧠 AI vs. Human Insight: Predicting the Future of Wearable Medical Devices The wearable medical device market is evolving rapidly, driven by cutting-edge technologies and innovative thinking. To get a glimpse of the future, I compared my predictions with those generated by #GPT-4 (o1). Here’s what we discovered: 🔍 Human Expertise Predictions: 🩺 Advanced Biosensors & Non-Invasive Monitoring 🌡️ Expanding non-invasive monitoring for vital biomarkers like glucose and blood pressure using flexible, biocompatible materials. This could revolutionize patient care and adherence. 🤖 AI Integration & Predictive Analytics 🧬 Real-time data analysis through AI enables personalized health insights and early detection of diseases, allowing for proactive interventions and tailored healthcare. 📡 Remote Patient Monitoring & Telehealth 🏠 Wearables integrated with telehealth platforms are enhancing chronic disease management, remote consultations, and elderly care with features like fall detection and emergency alerts. 🤖 AI Predictions (Generated by GPT-4 o1): 🦠 Microbiome Monitoring Wearables Real-time gut health monitoring will allow for personalized nutrition and digestive health management through advanced biosensors. 🧬 Precision Medicine with Genomic Wearables Genomic data integration in wearables will provide personalized health risk assessments and preventative care tailored to individual genetic profiles. 🚀 Key Takeaway: The future of wearable medical devices lies in merging advanced technology with personalized care. While human insights focus on practical applications like biosensors and telehealth integration, AI presents novel ideas such as microbiome and genomic wearables. Both perspectives point towards a more proactive and patient-centered healthcare approach. 💬 Join the Conversation! Which trends do you think will dominate the wearable medical device landscape in the next five years? Are there other emerging trends we should watch? Share your thoughts below! #WearableTechnology #DigitalHealth #MedTech #HealthcareInnovation #AIinHealthcare #RemotePatientMonitoring #HealthTech #FutureOfHealthcare #PrecisionMedicine #Telehealth

The development of digital stethoscope technology marks a significant leap in diagnostic tools for healthcare professionals. These innovative devices not only amplify sounds but also incorporate advanced features like electronic recording and heart rate monitoring, greatly enhancing diagnostic accuracy. This technology provides real-time data analytics, which aids in better detection and monitoring of conditions such as heart murmurs or respiratory abnormalities. The integration of AI algorithms offers potential for even more precise diagnostics, potentially leading to earlier and more accurate treatments. With the capability to connect to smartphones and other digital platforms, digital stethoscopes are setting a new standard in patient care and medical education. Key Takeaways: Enhanced Sound Quality 🎧 - Digital stethoscopes provide clearer and amplified body sounds for better diagnosis. Data Analytics 📊 - Real-time analysis helps in the accurate detection and ongoing monitoring of conditions. AI Integration 🤖 - Artificial intelligence enhances diagnostic precision, improving patient outcomes. Connectivity 🌐 - Easy integration with digital platforms allows for seamless data sharing and remote consultations. Educational Value 🎓 - These tools serve as excellent educational aids for medical students and professionals. Let's Discuss: How can medical professionals best integrate digital stethoscope technology into their current practices? How will new tools change medical education?

I don’t need AI to be my replacement. I need it to give me back my presence. This month, three new tools made headlines in healthcare AI: 🟣Ambience Healthcare – a real-time ambient scribe that listens in the room, writes the note, and codes the visit—automatically. 🟢 OpenEvidence – a GPT-powered search engine that reads 35,000 papers in seconds and answers clinical questions with speed and citations. 🔵 Doximity Scribe – a mobile ambient AI that records the visit and generates a SOAP note you can review before leaving the room. Each one isn’t trying to replace clinicians. They’re trying to give us back what paperwork stole. Less typing → more listening. Less Googling → more curiosity. Less documenting → more connecting. I don’t want to spend my patient’s most vulnerable moment staring at a screen. I want to look them in the eye and help them navigate the problem. That’s the future these tools are hinting at—not an AI that does the job for us, but one that gets out of the way. But we have to build it right. If we optimize for volume over value, clicks over connection, we’ll miss the moment. #HealthcareonLinkedin #AI #Healthcare #Digitalhealth

The FDA just updated its lists of medical devices that incorporate digital health technologies, now including sensor-based digital health technologies (sDHTs) for the first time. 🔗 https://lnkd.in/d3wg_6rm While AI/ML-enabled and AR/VR devices have been tracked for some time, the addition of sDHTs is exciting: ✅ It signals maturity. Reimbursement pathways for remote patient monitoring (RPM) and remote therapeutic monitoring (RTM) are now well established and delivering real value, driving a double bottom line for care providers and the patients they serve. ✅ It reinforces regulatory clarity. Despite ongoing hesitation in life sciences to embrace digital endpoints, the FDA continues to demonstrate its ability to evaluate these tools and its commitment to supporting high-quality innovation in the digital era of medicine. We had a little fun at the Digital Medicine Society (DiMe) this afternoon doing a quick cut of the data across AI/ML, AR/VR, and sDHTs: 📈 AI/ML dominates the landscape, with explosive growth starting around 2015 🧠 Neurology is a leading therapeutic area across all three categories 🫀 Cardiovascular dominates sDHT use cases and is also well represented in AI/ML and AR/VR 🩻 Radiology leads in AI/ML and AR/VR, but is absent in sDHTs 🧪 And spoiler: CGMs show up under clinical chemistry 😉 We’ll share more next week as we sit with the data a bit longer. In the meantime, kudos to FDA's Digital Health Center of Excellence for making this information public. It is only thanks to these newly released data that we can start to see the full picture. The landscape of medical devices incorporating digital health technologies is maturing quickly. It is increasingly capable of meeting the needs of our healthcare system and the patients we serve, and rising to the ambitions of a new administration committed to fully realizing the promise of digital health. #DigitalHealth #FDA #sDHT #RemoteMonitoring #RPM #RTM #DigitalEndpoints #HealthAI #HealthTech #CGM #RegulatoryScience #Innovation #ARVR #MedicalDevices

🚫🖥️ No Keyboard. No Mouse. Just Care. 🏥✨ Imagine walking into a patient room where the technology disappears—and the human connection takes center stage. Welcome to the keyboard less patient room: a space where clinicians speak, gesture, and move freely, while AI and ambient tech do the heavy lifting in the background. ✅ No more typing while talking. ✅ No more looking at the back of your clinician’s head ✅ No more delays in documentation. Instead, we get: 💡 Faster visits – Ambient voice tech captures notes in real time. 💡 Deeper trust – Eye contact and empathy are no longer sacrificed for screens. 💡 Better outcomes – Our clinicians focus on healing, not hardware. This isn’t the future. It’s happening now—and it’s transforming the way we deliver care. The question isn’t if we will get rid of keyboard and mice....it’s how fast we can get there. #HealthcareInnovation #DigitalHealth #AmbientTech #PatientExperience #FutureOfCare #CIOPerspective

Multimodal de-identified medical data lakes are starting to get traction. E.g., South Korea is on the forefront of collecting multimodal medical data (images, reports, and other modalities) from multiple hospitals across the country. This initiative, in no small measure, is the reason why Korean companies like Lunit become leaders in AI-based diagnostics. Lunit software, especially its breast cancer diagnostics, received CE marks and FDA approvals and is now in use in over 3,000 hospitals across the globe. This is the link to the Korean government describing the details and the current status of this initiative (https://lnkd.in/gZ2JidWN – in Korean). It is, in my opinion, high time we followed suit and started to give AI in Healthcare a chance by building multiple multimodal DE-IDENTIFIED medical data lakes to boost the development of highly generalizable AI models with less bias.

The healthcare industry is undergoing a major transformation as medical device manufacturers expand beyond prescription-only products and bring advanced health monitoring tools directly to consumers. This shift, initially led by continuous glucose monitors (CGMs), is now spreading into broader areas of health, including cardiovascular monitoring and sleep diagnostics. Wearable and over-the-counter medical technologies are making it easier for people to track vital health metrics without requiring a doctor’s visit. Strategic partnerships between leading biosensing companies and wearable tech innovators are driving this change, integrating glucose, heart health, sleep, and stress data into seamless, user-friendly platforms. While this evolution offers greater accessibility and empowers individuals to take control of their health, it also raises concerns around medical oversight, data privacy, and the fine line between wellness tools and medical-grade care. As technology advances, regulatory bodies and healthcare professionals must find the right balance to ensure consumerized medical devices are both safe and effective. The question isn’t whether healthcare will continue shifting to consumer hands—it’s how quickly and how far this trend will go. Are we prepared for a future where real-time cardiac monitoring, sleep diagnostics, and even early disease detection are as common as a fitness tracker? #HealthTech #WearableTech #DigitalHealth #ConsumerHealth #HealthcareInnovation