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We have just made the largest dataset for understanding radiologist-AI collaboration available to the world with 227 radiologists in our study.

When we use generative AI for work, there are two ever-present risks: hallucinations/confabulations and deskilling. For each of my AI use cases, I try to make sure I know how I'm avoiding those risks. Specifically: * AI is helpful despite being error-prone if it is faster to

This contest from Sam Finlayson Cyril Zakka, MD is incredibly promising - expert-graded benchmarking of complex tool use tasks is the essential next step in advancing health AI. I am stoked to be here at #SAIL2025 to engage with this and other excellent projects.

In July 2022, Webb revealed a breathtaking view of a region now nicknamed the Cosmic Cliffs. This glittering landscape is part of a small piece of the vast Carina Nebula Complex — where stars are born amid clouds of gas and dust. go.nasa.gov/4jJzEPl

How hard is it to teach clinicians #probability? After a 2-hour e-learning course clinicians felt more confident and did better on multiple choice questions, but didn't improve their #risk calculations (n > 200). doi.org/10.1136/bmjebm… #edu #medicine #stats #math #expertise

How we "guessed" the Pope using network science: inside the cardinal network. A study by me, Beppe Soda and Alessandro Iorio. Article: unibocconi.it/en/news/networ… Università Bocconi