Ethan Goh retweeted
New perspective in @NatureMedicine from our AMIE team at @Google!
Prospective evidence for conversational medical AI is hard, but non-negotiable
🔗 nature.com/articles/s41591-0…
🔗 rdcu.be/Pgr1WwyjF9Ca
Wonderful working together with @HardyShakerman @apalepu13 @drethangoh @AdamRodmanMD @AmiParekh10 @AvinatanH48021 @ymatias and many on this piece!
Trust in medical AI hasn't been earned yet.
But it potentially can be with randomized trials conducted in real world medicine
@NatureMedicine @HardyShakerman @cameronphchen
nature.com/articles/s41591-0…
Ethan Goh retweeted
🩺 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
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
Ethan Goh retweeted
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
Ethan Goh retweeted
"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…
Ethan Goh retweeted
"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
Ethan Goh retweeted
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
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