Executive Director, Stanford ARISE (AI Research and Science Evaluation) | Associate Editor, BMJ Digital Health & AI

San Francisco
Joined September 2021
🩺 Calling US-licensed attending physicians Stanford ARISE is recruiting 100 physicians (IM, FM, EM, GP) for a paid research study. ⏱ 1 hr on Zoom 💰 $150 Amazon gift card 📋 Review clinical cases NPI required. Sign up: docs.google.com/forms/d/e/1F… @ariseainetwork
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Ethan Goh retweeted
Incredibly proud of my colleagues @PeterBrodeurMD @LiamGMcCoy and @drethangoh for all the amazing work they put into the inaugural State of AI Report. I'll try to get my thoughts into some sort of thread -- though it's VERY hard to keep up these days! arise-ai.org/report
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There is a lot of buzz about our new paper in Nature Medicine on the effects of LLMs (GPT-4) on physician management reasoning! I had TONS of fun working on this -- but what it MEANS requires some unpacking. A 🧵⬇️ xitter.cf/EricTopol/status/18871…
A randomized trial of GPT-4 vs 92 physicians with or without this #AI LLM for performance on patient care tasks. AI improved physician performance, on par with AI alone (based on 5 clinical vignettes) nature.com/articles/s41591-0… @NatureMedicine @AdamRodmanMD @jonc101x
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"The chatbot by itself did surprisingly better than all of the doctors, including the doctors that accessed the chatbot. That flew in the face of the fundamental theorem of informatics: human plus computer will deliver better results..." jamanetwork.com/journals/jam…
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"Robots can write more empathetic measures than very busy doctors can." Stanford University's Jonathan Chen and Ethan Goh discuss the integration of #AI in medicine with JAMA Medical News. ja.ma/41OOjTy
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Preprint out today that tests o1-preview's medical reasoning experiments against a baseline of 100s of clinicians. In this case the title says it all: Superhuman performance of a large language model on the reasoning tasks of a physician Link: arxiv.org/abs/2412.10849 A 🧵⬇️
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