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Adamson trained in dermatology at UT Southwestern and cares for people at high risk for melanoma at UT Austin. In 2018, he and Avery Smith asked what happens when skin-disease algorithms learn from images that underrepresent darker skin. A tool can look accurate overall while giving some patients less reliable answers.
Read their JAMA Dermatology article ↗Koyejo earned his doctorate at UT Austin. At Stanford, his research on trustworthy machine learning includes medical imaging. He has also served as board president of Black in AI, a community supporting Black researchers across the field.
Stanford research profile ↗Explore the decisions behind starting, sustaining, and growing a business—from the first customer to the next market.
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