On pulm consults with Harvard Pulmonary & Critical Care Fellowship BIDMC IM Residency, and consulted on a case of platypnea that is still escaping us. In the spirit of a Staci Saunders intern report today on effective med-ed, here's my general approach to the condition and attempt at an infographic! #MedTwitter

SURGE (our unsupervised method to discover context-specific eQTLs without requiring pre-specification of the contexts of interest) is now out in Genome Biology! genomebiology.biomedcentral.com/articles/10.11…

🖥️We wrapped up our first Academic Half Day on AI in Medicine! Thanks to all our speakers! We learned more about tools like #GPT-4 and Open Evidence, especially in research and clinical application. We also discussed ethical & future policy implications. #Bioethics #AI #MedEd

How good is #AI at clinical reasoning? An early, simulated assessment jamanetwork.com/journals/jamai… “An LLM was better than physicians in processing medical data and clinical reasoning using recognizable frameworks as measured by R-IDEA”

It is remarkable how routine it has become for careful studies to show that GPT-4 (not trained specifically for medicine) outperforms most doctors in key aspects of diagnosis. That doesn't mean that GPT-4 is reliable in all circumstances, but it still seems like a big deal.

We know LLMs can ace multiple-choice exams. Taking us deeper, an important new study led by Steph Cabral and Adam Rodman conducts a nuanced evaluation of the clinical reasoning abilities of GPT-4 wrt physicians. Guess who wins? Need more of these! jamanetwork.com/journals/jamai…

An LLM outperformed human clinicians in the ability to process medical data and display clinical reasoning, raising hopes that LLMs might be able to serve as “copilots” in clinical workflows. ja.ma/4cxVJgV

Our new study in JAMA Internal Medicine looking at the reasoning abilities of GPT-4 compared with human physicians just came out. Big picture: AI displays (much) better reasoning than humans, makes diagnoses similarly, but hallucinates considerably more. A 🧵to put in context ⬇️

Thanks Ivana J. and Jonathan H Chen MD PhD for the fantastic talks on machine learning and LLMs in medicine! Lots of great discussion but more importantly some wild magic 🪄🪄🪄 (Jonathan H Chen MD PhD is a magician if you can believe it)

We're so proud to congratulate our senior residents on graduation! They have been a truly outstanding class and it has been an honor to watch them care for patients. As you head to fellowships or faculty roles near and far, we can't wait to see your bright futures unfold! 🌟🎓🩺

Excited to kick off 2025 with our latest publication! We've developed TGFM, a new statistical method for identifying the causal tissue and gene underlying GWAS disease loci—providing new insights into the biology behind GWAS signals. nature.com/articles/s4158…

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 🧵⬇️ x.com/EricTopol/stat…

My husband is starting his lab in statistical genetics at CHIP Informatics this fall! Very proud of him—reach out if you’re looking to join his group (I can attest he’s great!)

Exciting updates!! (1) I just opened my lab at Boston Children’s Hospital (Harvard-affiliated) (2) I’m hiring a postdoc focused on integrating GWAS and functional genomic data. Reach out if you’re interested or connect at ASHG next week! (3) Learn more at stroberlab.com