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Updated: Jun 9, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
Gender Bias in AI's Perception of Cardiovascular Risk
Margaux Achtari1, Adil Salihu2, Olivier Muller2
1Health and Gender Unit, University Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Abstract:
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.
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