How AI is transforming healthcare and medicine

Innovative approach advances equity in health care AI A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms-addressing a critical issue that can affect diagnostic accuracy and treatment decisions. via News Medical Device / Technology News Feed

Great to see JCHI Faculty Affiliate Aaron Boussina representing at Medinfo 2025 in Taipei, the premier international forum for biomedical informatics and health AI! Aaron spoke on a powerhouse panel alongside Peter J. Embí, M.D., M.S., David Dorr, and Shauna M. Overgaard, Ph.D., exploring how healthcare institutions can effectively operationalize algorithmovigilance (the evaluation, monitoring, understanding and prevention of adverse effects of algorithms in healthcare). He shared insights from nearly three years of real-world experience safely implementing and sustaining an AI system for early sepsis recognition, a compelling case study in the evolving landscape of AI governance in healthcare. Proud to see Aaron contributing to global conversations that shape the future of digital health! Read more about his work ⤵️ https://lnkd.in/gdSq8VEd

Exciting advancement in healthcare: Mount Sinai has launched a pioneering AI lab focused on transforming cardiac care. By leveraging real-time data and machine learning, the initiative aims to enhance diagnostics, optimize clinical workflows, and improve patient outcomes. A powerful step forward in integrating artificial intelligence into personalized heart health.

🚀 Open Data at #MICCAI2025 Alongside the main conference track, MICCAI 2025 will spotlight Open Data—sharing high-quality medical imaging datasets, with a special focus on underrepresented populations and diseases (e.g., South-East Asia). Aligned with FAIR data and Data-centric AI principles, this initiative promotes inclusivity, reproducibility, and innovation in medical imaging research. If you’re passionate about equitable and transparent AI in healthcare, this is a must-follow track! 👉 Learn more: https://lnkd.in/dPyFQbV3 🔖 Hashtags: #MICCAI2025 #OpenData #DataCentricAI #MedicalAI MICCAI Society NAAMII Health AI for All Network

Regenstrief Institute experts joined presenters from around the world at MedInfo 2025 in Taipei, Taiwan, to explore how AI and informatics can transform healthcare. From predictive modeling to public health visualization, Regenstrief's research reflects the Institute's global leadership in biomedical informatics and innovation. https://lnkd.in/gQxwHtZN

Artificial Intelligence + Network Medicine = The Next Leap in Precision Medicine A recent NEJM AI review (Altucci et al., Aug 28, 2025) highlights how the convergence of Network Medicine (NM) and Artificial Intelligence (AI) is reshaping the way we understand and treat disease. -Over the last 20 years, NM has advanced our ability to map disease mechanisms, identify therapeutic targets, and personalize interventions. -AI — particularly deep learning — is now accelerating this process by extracting mechanistic insights from massive multiomic datasets. -Together, NM and AI form a powerful framework for tackling biomedical complexity, promising faster, more precise, and biologically grounded predictions. The review emphasizes: ✅ How AI enhances NM’s ability to model molecular interactions. ✅ Real-world applications already delivering clinically meaningful precision therapies. ✅ Persistent challenges — from data integration to validation — that require collaborative innovation. This synergy between NM and AI is more than a technical evolution: it is a paradigm shift towards truly personalized medicine. 👉 What do you think? Will AI + NM become the standard backbone of precision medicine in the next decade, or will we face barriers that slow its clinical adoption? #algorethics #AIinMedicine #IAenMedicina #algorética #PrecisionMedicine #MedicinadePrecisión

inaugural symposium on AI in healthcare, where national leaders in artificial intelligence explore how AI is transforming healthcare in practice. Discover how cutting-edge innovations are advancing patient care, reshaping medical education, and accelerating scientific discovery. This forward-looking event will feature the latest developments in AI—from clinical applications and diagnostics to education, health equity, and policy—offering insights into how technology is redefining the future of medicine.

📢 Call for Papers – IDDB Journal IDDB is inviting submissions for a special issue on the Impact of Artificial Intelligence (AI) in Healthcare. Topics of interest include (but are not limited to): AI in patient management and improving outcomes Advances in diagnostic and imaging techniques Predicting outcomes in infectious and non-communicable diseases Applications of AI in clinical research and practice Researchers, clinicians, and academicians are encouraged to contribute their work to help shape the future of AI in healthcare. ✍️ Submit your papers now and be part of this important discussion! #CallForPapers #AIinHealthcare #MedicalAI #DigitalHealth #PatientOutcomes #Diagnostics #MedicalImaging #ClinicalResearch #HealthcareInnovation #IDDBJournal

Day 2 at LSI 2025 was packed with insights, energy, and even a bit of fun to round it all off with pub trivia! 🍻🧠 AI is a constant word we hear in medtech, so I was especially keen to listen in on the “AI and the Art of Healing: a Symbiotic Future for Physicians” panel. The panelists Danguole Altman from Cx Precision Medicine, Inc., Sharon Handelman-Gotlib from Shela Health, Mike Hobby from Cambridge Consultants, Kei Wieland Müller from Ebenbuild, and Antony Rix from Lucida Medical, spoke about AI not as a replacement for clinicians, but as an enabler of better care. Danguole drew a fascinating parallel: neuroscience today feels like oncology did 20 years ago, right on the verge of a revolution in personalised medicine. That perspective captured just how transformative the coming years could be. From early detection of dementia to shifting investment from late-stage interventions to prevention, the discussion reinforced how AI can help move healthcare from reactive to proactive. Most encouraging of all, clinicians themselves are becoming more open to adopting these tools. Pairing human empathy with technological intelligence may be exactly how we unlock the next era of healthcare. Sharon reminded us that when we bring EQ and IQ together in medicine, that’s where the real magic happens. #AI #DigitalHealth #PrecisionMedicine #HealthcareInnovation #LSI2025

Introducing GenomexLab — voice-driven insights for health & ancestry At GenomexLab, we explore what a short voice sample can reveal. Our web platform analyzes vocal dynamics and acoustic biomarkers to provide category-based health insights (e.g., phonation/voice hygiene, neurological, endocrine) and a transparent ancestry distribution visualization — all designed for research and early screening, not a medical diagnosis. What’s inside: VokalKord AI: Vocal fold dynamics & functional patterns from voice. GeneticFingerprint: Clear, visual ancestry distribution with concise summaries. Privacy by design: Consent-first data handling; research use only. Web-based dashboards: Fast, elegant, and ready for pilot collaborations. We’re opening pilots with clinics, researchers, and innovators. 👉 Explore: https://genomexlab.com #GenomexLab #VoiceAI #DigitalHealth #AIinHealthcare #ComputationalBiology #Ancestry #Research