Marc Succi, MD

Wonderful work with a huge contribution from @harvardmed students working with the incomparable @MarcSucciMD and other @MassGeneralMDs from several departments. #LLMs #AI #Radiology @meshincubator @NeimanHPI

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: doi.org/10.1001/jamane… @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.” bit.ly/4noDDT3

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: harvardmagazine.com/2025/05/harvar…

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 harvardmagazine.com/2025/05/harvar…

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! mesh2025.meshincubator.org

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 massgeneralbrigham.org/en/about/newsr…

MESH CORE Riyadh — an inspiring opportunity for innovation and forward-thinking in healthcare alongside brilliant minds🌟🧠

Day 2 of #MESHCore2025 an exciting, thought provoking healthcare innovation bootcamp discussing AI incorporation in the future of healthcare! Truly outstanding @meshincubator

Interesting perspective on the current investing environment in healthcare innovation from top VCs at today’s MESH Incubator panel #HealthcareInnovation #VentureCapital @VCAmir @jraythatha @RogerKitterman @5amVentures @atlasventure @ThirdRockV @MGBInnovation @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

AI chatbots are quickly becoming go-to sources for health information, but how well do they actually answer patients' questions? In a head-to-head comparison, researchers assessed how well LLM-based chatbots like GPT-3.5, GPT-4, and Bard measured up to Google in answering common health queries. Board-certified physicians rated the responses based on accuracy, comprehensiveness, and quality, while also evaluating readability using Flesch-Kincaid metrics. The findings are clear: GPT-3.5 and GPT-4 outperformed the rest in quality – though not in simplicity. These results point to the potential of LLMs as useful tools for supporting patient understanding. 𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: link.springer.com/article/10.100… 𝗦𝘁𝘂𝗱𝘆: A Future of Self-Directed Patient Internet Research: Large Language Model-Based Tools Versus Standard Search Engines 𝗔𝘂𝘁𝗵𝗼𝗿𝘀: @AryaRao_, Andrew Mu, Elizabeth Enichen, Dhruva Gupta, Nathan Hall, Erica Koranteng, William Marks, @mikejsz, David C. Whitehead, Benjamin A. White, Sanjay Saini, Adam B. Landman, and @MarcSucciMD @harvardmed @MassGenBrigham @MassGeneralNews @meshincubator @MGHImaging @HarvardHBS 𝗦𝘂𝗯𝗺𝗶𝘁 𝘆𝗼𝘂𝗿 𝗮𝗯𝘀𝘁𝗿𝗮𝗰𝘁: link.springer.com/journal/10439

Check out our latest paper in @JAMA_current !

"As AI takes on tasks such as routine documentation and medical record review, the physicians of the future must serve as responsible stewards of these technologies." Read this Viewpoint about preparing students to succeed in medical school. ja.ma/41RtkyV

Out now in @JAMA_current—our piece on how to train future docs to thrive in the age of AI! With @MarcSucciMD and Bernard Chang @harvardmed

New AJR: "Innovation: AJR Podcast Series on Training and Education, Episode 9" By Drs @MonicaCheng_ & @MarcSucciMD @MGHImaging ajronline.org/doi/10.2214/AJ…

True innovation goes beyond just having a great idea. @MarcSucciMD joins @MonicaCheng_ in the latest episode of the AJR Podcast Series on Training and Education to discuss fostering a culture of innovation in radiology. ajronline.org/doi/10.2214/AJ…

🎙💡 New @AJR_Radiology Training & Education Series Podcast Episode! Ft. @MarcSucciMD, on driving healthcare innovation in radiology & education as founder of @meshincubator @MassGenBrigham 📝: ajronline.libsyn.com/innovation-ajr… 🎧: open.spotify.com/episode/2u9czd… 🍎: podcasts.apple.com/us/podcast/ajr…