Gender Bias in AI's Perception of Cardiovascular Risk.

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Serval ID
serval:BIB_F025A85826A1
Type
Article: article from journal or magazin.
Collection
Publications
Institution
UNIL/CHUV
Title
Gender Bias in AI's Perception of Cardiovascular Risk.
Journal
Journal of medical Internet research
Author(s)
Achtari M., Salihu A., Muller O., Abbé E., Clair C., Schwarz J., Fournier S.
ISSN
1438-8871 (Electronic)
ISSN-L
1438-8871
Publication state
Published
Issued date
22/10/2024
Peer-reviewed
Oui
Volume
26
Pages
e54242
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
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.
Keywords
Humans, Female, Male, Sexism/psychology, Cardiovascular Diseases/psychology, Middle Aged, Risk Assessment/methods, Artificial Intelligence, Adult, Heart Disease Risk Factors, Coronary Artery Disease/psychology, AI, CAD, artery, artificial intelligence, cardiovascular, chatbot: health care, coronary, coronary artery disease, gender, gender bias, gender equity, men: women, risk
OAI-PMH
oai:serval.unil.ch:BIB_F025A85826A1
DOI
10.2196/54242
Pubmed
39437384
Open Access
Yes
Create date
07/01/2024 12:54
Last modification date
29/10/2024 7:22
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