Gender Bias in AI's Perception of Cardiovascular Risk

Achtari, MargauxSalihu, AdilMuller, OlivierAbbé, EmmanuelClair, CaroleSchwarz, JoëlleFournier, Stephane2025-01-252025-01-252025-01-24202410.2196/542422-s2.0-85207222605https://infoscience.epfl.ch/handle/20.500.14299/24394539437384The study investigated gender bias in GPT-4's assessment of coronary artery disease risk by presenting identical clinical vignettes of men and women with and without psychiatric comorbidities. Results suggest that psychiatric conditions may influence GPT-4's coronary artery disease risk assessment among men and women.entrueAIarteryartificial intelligenceCADcardiovascularchatbot: health carecoronarycoronary artery diseasegendergender biasgender equitymen: womenriskGender Bias in AI's Perception of Cardiovascular Risktext::journal::journal article::research article