📊 CHAI's National AI Oversight Framework, 🧠 AI Datathons Transforming Medical Education, 🎓 Indian College of AI in Medicine (ICAIM) Launch, and More! 🚀
Updates on Artificial Intelligence & Emerging Technologies in Medicine 🤖💊
Welcome to The ‘Med AI’ Capsule Newsletter—your go-to source for exploring how AI and emerging technologies are transforming medicine! Whether you're a medical professional 👩⚕️, a tech enthusiast 💻, or simply curious 🧠, The 'Med AI' Capsule is for you! Stay ahead of the curve with the latest trends, insights, and updates in the rapidly evolving world of AI and emerging technologies in medicine. 🚀
In today’s capsule:
4 News Updates
3 Research Papers
2 Learning Resources
1 Worth-Attending Event, and more!
Time to Read: Around 7 to 10 minutes.
Exciting News! You can now enjoy this newsletter issue in a new, accessible format. Click below to listen to the podcast version and dive deeper into the latest insights and stories while on the move!
📰 News Updates
🤖 CHAI Steps Up Post-Deployment Monitoring as FDA Lags Behind
With the FDA currently lacking robust post-market oversight for healthcare AI, the Coalition for Health AI (CHAI) is filling the gap by launching a national framework for ongoing model evaluation.
CHAI will introduce post-deployment monitoring via its model card registry, enabling health systems to report AI performance metrics using standardized language and benchmarks.
This aims to identify performance variability across different local settings and ensure AI tools remain safe and effective over time.
Founding members include top institutions like Cleveland Clinic, Stanford Medicine, Kaiser Permanente, and Mount Sinai, who are collaboratively setting the reporting standards.
The move comes amid calls for the FDA to modernize its approach, with bipartisan support for public-private partnerships to guide healthcare AI oversight.
“There's no place, yet, anywhere, where health systems can come together to share that information and begin to have common metrics, common ways of evaluating, so you can really get to an apples to apples comparison of how these models actually work.”
- Brian Anderson, M.D.
CEO, CHAI
Why It Matters: Without proper monitoring, AI models risk degrading in performance or reinforcing inequities—especially in diverse populations. CHAI’s initiative brings much-needed transparency and accountability, supporting responsible adoption while FDA oversight evolves.
📌 Other Highlights
Mount Sinai has launched the AI Small Molecule Drug Discovery Center to integrate AI with traditional methods, accelerating the design of novel, precise therapeutics for complex diseases like cancer and neurodegeneration.
University Hospitals Cleveland Medical Center has partnered with Qure.ai to deploy FDA-cleared chest X-ray AI (qXR-LN) as a second read for early detection of lung nodules, aiming to improve lung cancer identification and patient outcomes through an ongoing clinical trial.
SingHealth and Duke–NUS have launched the Artificial Intelligence in Medicine Institute (AIMI) to advance AI research, education, governance, and commercialisation in healthcare, alongside a new partnership with the U.S.-based CHAI to develop global best practices and AI literacy initiatives.
✨ Industry Spotlight
MedMitra AI is an innovative healthcare technology startup founded in 2023 by Dr. Anushka Sharma and Shivangi Sharma. The company has developed autonomous AI agents designed to assist doctors with diagnosis, treatment, and prognosis tasks.
Their platform leverages multimodal inputs, including patient medical history, lab reports, and imaging data, to provide actionable insights within seconds, reducing OPD and IPD time significantly. Recently securing funding in a pre-seed round led by All In Capital and WEH Ventures, MedMitra AI aims to address the critical gap in healthcare technology that focuses on easing doctor workload rather than hospital administration or patient-facing solutions.
The company is currently operating in Jaipur with expansion plans to Delhi, Mumbai, and Bengaluru, targeting both metropolitan and underserved smaller cities in India's rapidly growing healthcare AI market.
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🔬 Latest Research Papers
📊 Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study
MDplus ran two multi-week digital datathons with about 200 medical trainees.
Participants’ Python skills improved significantly, while Excel and GitHub skills stayed the same.
82% felt more capable of deriving clinical insights from data.
93% enjoyed the events, and 82% want to join future datathons at a cost of $28 per person.
Trainees from diverse specialties and education levels participated.
“Our results suggest that datathons can serve as valuable and effective educational experiences for medical trainees to become better skilled in leveraging data science and artificial intelligence for patient care.”
- Authors
Why It Matters: This study matters because it shows that datathons offer a practical, cost-effective way to teach AI and data science skills that are often missing from medical school curricula. By engaging diverse trainees in real-world projects, it builds confidence in using data to generate meaningful clinical insights and fosters lasting interest in AI-driven patient care. As healthcare increasingly relies on machine learning, this model provides a scalable blueprint for training the next generation of physicians.
📌 Other Highlights
OpenEvidence, an AI platform, provided clear, relevant, evidence-based recommendations that reinforced primary care physicians’ treatment plans for common chronic conditions but had minimal impact on altering clinical decisions.
An international mixed-methods survey of 392 German and US mental health practitioners uncovered limited familiarity with AI-enabled tools in mental healthcare while identifying practitioners’ learning intentions, ethical readiness, and affinity for technology interaction as consistent predictors of their adoption intentions across diagnostic, treatment, feedback, and practice-management applications.
❓ Knowledge Quiz
Mark your answer and think about it as you read through the remaining newsletter, and find the correct answer at the end!
📚 Learning Resources
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Exciting Announcement
Introducing the Indian College of AI in Medicine (ICAIM)
We’re excited to share that one of our close collaborators, Doctors AI Community, has officially announced their academic wing—the Indian College of Artificial Intelligence in Medicine (ICAIM).
ICAIM will focus on structured learning, research, and innovation to empower medical professionals in the evolving field of AI in healthcare.
Stay tuned for upcoming learning opportunities, certifications, and collaborative programs from ICAIM!
🧑💻 Worth-Attending Event
Let’s wrap it up with a thought-provoking quote! 💡
“I think one day, maybe we can cure all disease with the help of AI. Maybe within the next decade. I don't see why not.” - Sir Demis Hassabis, CEO, Google Deepmind
Stay tuned for the upcoming issues of my newsletter to explore the latest breakthroughs and dive deep into the transformative power of artificial intelligence and emerging technologies, shaping a healthier future. 🚀
Disclaimer: The content in this newsletter was partly curated and summarized using AI LLMs, which can make mistakes. Please check all important information. For any issues or inaccuracies, please reach out at avneeshkhareonline@gmail.com.
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