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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APA
Achtari, M., Salihu, A., Muller, O., Abbé, E., Clair, C., Schwarz, J., & Fournier, S. (2024). Gender Bias in AI’s Perception of Cardiovascular Risk. Journal of Medical Internet Research, 26. https://doi.org/10.2196/54242
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