Gender Bias in AI's Perception of Cardiovascular Risk
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.
Authors
- Adil Salihu (ORCID: https://orcid.org/0000-0002-9659-0396)
- Stéphane Fournier (ORCID: https://orcid.org/0000-0002-9422-9521)
- Emmanuel Abbé (ORCID: https://orcid.org/0000-0002-1831-656X)
- Olivier Müller (ORCID: https://orcid.org/0000-0003-2441-5799)
- Carole Clair (ORCID: https://orcid.org/0000-0001-5281-0943)
- Joëlle Schwarz (ORCID: https://orcid.org/0000-0002-0992-3165)
- Margaux Achtari (ORCID: https://orcid.org/0009-0006-6615-9374)
Institutions
- Centre universitaire de médecine générale et santé publique, Lausanne (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-09-10
- DOI
- https://doi.org/10.2196/54242
- Citations
- 9
- Primary Topic
- Cardiac Health and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 3.62