Jonathan H Chen MD PhD
@jonc101x
Physician Data Scientist - Stanford Center for Biomedical Informatics Research + Division of Hospital Medicine + Clinical Excellence Research Center
ID:2441313229
http://www.stanford.edu/~jonc101 13-04-2014 08:28:53
3,0K Tweets
2,3K Followers
706 Following
Ever wondered why medical diagnoses can sometimes miss the mark? Feedback loops may hold the answer. #StanDOM 's Jonathan H Chen MD PhD, Julia Simard, ScD & Mike Baiocchi unravel the complexities in their latest study.
bit.ly/3X6fSoM
🚀Want an image classifier within minutes? Just prompt latest models like GPT-4o and Gemini 1.5 with a bunch of demo examples (you can include thousands of them now) and ask multiple queries in one go!
Work with Andrew Ng at Stanford AI Lab and Jonathan H Chen MD PhD . Inspired by Jeff Dean (@🏡)
Work led by Yixing Jiang together with Ji Hun Wang @mahmed_ch supervised by Jonathan H Chen MD PhD and Andrew Ng in Stanford AI Lab.
Read more here: arxiv.org/abs/2405.09798
Our new publication Stephen Ma Jonathan H Chen MD PhD Thanks Journal of Hospital Medicine! The promises and limitations of AI for quality improvement, patient safety, and research in hospital medicine - …mpublications.onlinelibrary.wiley.com/doi/10.1002/jh…
Stanford Division of Hospital Medicine Society of Hospital Medicine
This has been a long time in the making. So happy to see this work published.
Feedback Loop Failure Modes in Medical Diagnosis: How Biases Can Emerge and Be Reinforced
with amazing colleagues Rocky Aikens, Jonathan H Chen MD PhD, Mike Baiocchi
journals.sagepub.com/doi/10.1177/02…
Still trying to understand what exactly it is they're protesting against? Seems more of a general angst about a changing world and not feeling in control of it? #AI is such a loaded buzzword, seems it can mean anything to anyone. sfstandard.com/2024/04/22/kai… via The San Francisco Standard
In a new Perspective, Jonathan H. Chen, M.D., Ph.D. (Jonathan H Chen MD PhD), discusses how human–computer interactions with artificial intelligence may stimulate our most human activities needed in medicine. Read 'Who’s Training Whom?' here: nejm.ai/3Un9Oq4
Tiffany I. Leung ACP Deepti Pandita, MD, FACP, FAMIA Ivana J. Matt Sakumoto Ross Hilliard, MD, FACP Lisa Rotenstein MD Parag Mehta MD MACP Jitendra Barmecha, MD, MPH, FACP, SFHM Ellen Gelles Dr. Elisa Choi, MD, FACP, FIDSA (She/Her) How should we take it when a deepfake chatbot elicits far more applause than the real speaker? youtu.be/8kaqPA2-56U?si…
' #AI is math, not magic.' Resource allocation, taking an action is based on the output - Ivana J.
#IM2024 ACP
Deepti Pandita, MD, FACP, FAMIA Jonathan H Chen MD PhD
#artificalintelligence #CDS #decisionsupport #healthIT #healthytech #techquity
Cc Ismael Said Criado Filomena Pietrantonio eHealthEFIM
#LLMs may be even more beneficial for certain specialties like #internalmedicine #primarycare . - Deepti Pandita, MD, FACP, FAMIA #IM2024 ACP
Jonathan H Chen MD PhD Ivana J.
#AI #artificalintelligence #NeuralNetworks #responsibleAI #HealthTech #Medicine
4-peat performance on AI in Medicine by Deepti Pandita, MD, FACP, FAMIA
“Augmented Intelligence and Machine Learning in practice”
ACP #IM2024
Ivana J. Jonathan H Chen MD PhD
The most anticipated talk at #ACPIM2024 is this! See you all there at 8 am EST Jonathan H Chen MD PhD Ivana J. Deepti Pandita, MD, FACP, FAMIA talking about real world clinical #AI usecases
