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Why could medical imaging AI be biased across different demographic groups?🤔 Excited to share our latest Nature Medicine paper on revealing the potential cause of bias, and how to dissect & improve fairness ID & OOD.💡 📄nature.com/articles/s4159… 💻github.com/YyzHarry/short… (1/n)

This is a finding that's being seen across multiple studies in medical AI, and speaks to the challenge of designing optimal human AI collaboration systems in medicine (which is a must). Here's a few from our work and others: 1. nber.org/system/files/w… 2. nature.com/articles/s4159…

Jeremy Hsu Jeremy Hsu (@jeremyhsu.bsky.social) at New Scientist New Scientist shares illuminating coverage of our study: newscientist.com/article/246235…

CRAFT-MD got featured in NY Times! Read the full study here - rdcu.be/d5ovt

Congrats to Sami الأمين Elamin, MD + SJ on leading this important assessment of published video/image data sets in GI endoscopy in Journal of the Canadian Assn of Gastroenterology. ➡️ Relatively limited range of conditions + demographics in current data sets are an important impedement to AI progress in GI.