@uwcse.bsky.social researchers @suinlee.bsky.social, @chanwoo-kim.bsky.social & @sohamgadgil.bsky.social argue that a key standard for deploying medical #AI is transparency — that is, using various methods to clarify how a medical AI system arrives at its diagnoses and outputs.

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Medical #AI errors “can directly impact people’s health and even determine life-altering outcomes.” In @natrevbioeng.nature.com, @chanwoo-kim.bsky.social @sohamgadgil.bsky.social & @suinlee.bsky.social discuss the importance of transparency in medical models. www.washington.edu/news/2025/09...

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Atul Butte died yesterday. The world lost a giant. A big bear of a man. With a huge smile. With love for everyone. With energy that could power a room. I loved everything about Atul. I loved how he was always happy. I loved how excited he was about science and helping people.

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Atul Butte’s talk introduced me to systems biology—I was presynapse scientist and opened my horizon to "biomedical moments, thawing frozen discoveries in data". Ideas that changed my career. Thank you for the science, the spirit, and the inspiration. You will be remembered.

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Wow, this paper on interpreting ML models by @suinlee.bsky.social and Scott Lundberg came out in 2017 and has 34k citations! Congratulations @suinlee.bsky.social and your team, what an achievement :-). arxiv.org/abs/1705.07874

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