%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 26
%N 
%P e54242
%T Gender Bias in AI's Perception of Cardiovascular Risk
%A Achtari,Margaux
%A Salihu,Adil
%A Muller,Olivier
%A Abbé,Emmanuel
%A Clair,Carole
%A Schwarz,Joëlle
%A Fournier,Stephane
%+ Department of Cardiology, Lausanne University Hospital and University of Lausanne, 21 Rue Du Bugnon, Lausanne, CH-1011, Switzerland, 41 21 314 00 12, stephane.fournier@chuv.ch
%K artificial intelligence
%K gender equity
%K coronary artery disease
%K AI
%K cardiovascular
%K risk
%K CAD
%K artery
%K coronary
%K chatbot: health care
%K men: women
%K gender bias
%K gender
%D 2024
%7 22.10.2024
%9 Research Letter
%J J Med Internet Res
%G English
%X The 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.
%R 10.2196/54242
%U https://www.jmir.org/2024/1/e54242
%U https://doi.org/10.2196/54242