More evidence of #AI limitations in guiding clinical care. Exploration of its use in clinical reasoning found not bad in final #diagnosis and management but error rates in differential diagnosis of 80%.
https://t.co/gCWpeX7WB7
Our commentary on this very interesting study by Rao AS et al demonstrating the Limitations of Large Language Models in Clinical Diagnostic Reasoning was just published in JAMA Network Open: https://t.co/0vFEoFZJ2f
While chatbots can identify likely conditions once a case is fully specified, they are less reliable at the earlier, more uncertain stages of clinical reasoning. https://t.co/m6XCvIRz7J
Assessment of 21 LLMs for generating a differential diagnosis
"Off-the-shelf LLMs have not yet achieved the intelligence required for safe deployment and
remain limited in demonstrating advanced clinical reasoning."
https://t.co/9Nvo0kPrZA
Join us for MESH Core 2026: The Official Healthcare Innovation Bootcamp of @MassGenBrigham. May 4-5, 2026.
Themes include AI, longevity, venture, and more. Featuring CEOs, founders, physicians, and more. Open to the Public.
Learn more: https://t.co/Z2QNzE6dc9
In a recent study, researchers from @meshincubator and colleagues investigated the use of CTA in emergency departments. The study was published in @JAMANetworkOpen.
Read more: https://t.co/NiyHPX9MJn
@MarcSucciMD
🚨 CT angiography use for suspected #GIbleed jumped 7-fold in the ED, but diagnostic yield is dropping.
@MarcSucciMD of @meshincubator says: “We should avoid defaulting to #CTA for borderline scenarios — it’s about balancing risk, time and throughput.”
https://t.co/S5wrAMH7VI
At #MESHCore2025, Dr. Isaac Kohane @zakkohane shared how AI tools can deliver vastly different care recommendations depending on the prompt. His takeaway: AI in healthcare must be guided by ethical frameworks that prioritize patients.
Read more: https://t.co/NXusgdORo2
At @meshincubator 2025, @harvardmed’s @zakkohane shared a striking case: GPT-4 recommended treatment to a patient when assessing from the perspective of a doctor—but denied treatment as an insurer. Same patient, same facts, different values.
#Harvard
https://t.co/aep8iD17Gp
Key takeaways in @JAMA_current
1. AI goes beyond performance: Medical schools must prepare students to use AI not just as a diagnostic tool, but to augment core skills.
2. Transformation needed: Medical education must evolve to teach both technical AI skills and human-centered care
3. LLMs show promise: Large language models demonstrate early success in clinical tasks @MarcSucciMD@AryaRao_@harvardmed
And that’s a wrap!
Just finished #MESHCore2025! Inspired by clinicians making the world better. Excited to continue advancing tech for efficiency, accuracy & better decisions in healthcare. Looking forward to building the future together 💪🏽 @MGBInnovation@meshincubator
Day 1 of #MESHCore2025 kicked off with bold ideas, big energy, and a shared drive to rethink what's possible in healthcare. Thanks to all who joined us - we're excited for what Day 2 will bring!
https://t.co/bSUkVAQQzl
Congratulations to Microvitality, winner of the 2025 Mass General Brigham MESH Disruptive Innovation Prize! Their ingestible capsule enables noninvasive, precise sampling of the small intestine, advancing the future of microbiome diagnostics. #MESHCore2025
https://t.co/r5bmlDyFnM
Day 2 of #MESHCore2025 an exciting, thought provoking healthcare innovation bootcamp discussing AI incorporation in the future of healthcare! Truly outstanding @meshincubator
#MESHCore2025 brought thoughtful discussion, bold ideas, and a shared commitment to advancing healthcare innovation to a sold out audience of nearly 500 attendees! AI, design thinking, startups, leadership negotiation, digital health, venture and much more! @MGBInnovation