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Study reveals bias in AI tools when diagnosing women’s health issue

In AI University, Featured, In the Headlines, J Crayton Pruitt Family Department of Biomedical Engineering, NewsBy Karen DooleyStory originally published on UF News

Machine learning algorithms designed to diagnose a common infection that affects women showed a diagnostic bias among ethnic groups, Herbert Wertheim College of Engineering researchers found.