Our new Harvard/Stanford study out today in Nature Medicine! Our results show language models, while strong at medical exams, stumble when they need to gather patient information through natural conversation - a key finding as healthcare explores AI integration.

How to solve? Enter CRAFT-MD.

I don't think it's widely clear to the #RadiologyAI community just how poorly GPT-4V compares with the top report generation models on chest X-rays, like MedVersa or MAIRA-2.

It's clear we need a way to track progress.

Delighted to launch 2 new short courses on AI for Medicine, now open for registration at Harvard Medical School online learning platform!

Medical Image Interpretation course page: onlinelearning.hms.harvard.edu/hmx/hmx-pro/...

“Automation neglect” may be responsible for suboptimal human ai collaboration @erictopol.bsky.social @rsnasky.bsky.social #rsna24 #radiology #ai

No FDA approved Ai for level 3 and 4 AI!

Opportunistic screening AI evidence! @erictopol.bsky.social @rsnasky.bsky.social

#rsna24

If a machine makes the same mistake again and again, it's precise. but that's not what we want. We also need accurate AI.

Talk from @erictopol.bsky.social at @rsnasky.bsky.social #RSNA

Excited for the keynote of @erictopol.bsky.social at #RSNA24.

Powerful plenary keynote by @curtlanglotz.bsky.social, painting the vision for a future with intelligent connections in radiology.

AI powered draft reporting being showcased on bone x-rays

Excited to be back at #RSNA2024! 🎉 It's going to be a packed one.

I'm delighted to showcase a2z-2: our AI model that can detect 140 findings in abdomen-pelvis CT scans, ranging from acute appendicitis to aortic aneurysms. It is currently available for research use and clinical trials.

140 Findings. The most comprehensive detection for abdomen-pelvis CTs. This is what it means to go from A to Z.