Gender Bias in AI's Perception of Cardiovascular Risk

7Citations
Citations of this article
33Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free