Gender Bias in AI's Perception of Cardiovascular Risk.

Achtari, M.; Salihu, A.; Muller, O.; Abbé, E.; Clair, C.; Schwarz, J.; Fournier, S.

doi:10.2196/54242

Gender Bias in AI's Perception of Cardiovascular Risk.

Détails

Télécharger: jmir-2024-1-e54242.pdf (46.97 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0

ID Serval

serval:BIB_F025A85826A1

Type

Article: article d'un périodique ou d'un magazine.

Collection

Publications

Institution

UNIL/CHUV

Titre

Gender Bias in AI's Perception of Cardiovascular Risk.

Périodique

Journal of medical Internet research

Auteur⸱e⸱s

Achtari M. (co-premier), Salihu A. (co-premier), Muller O., Abbé E., Clair C., Schwarz J., Fournier S.

ISSN

1438-8871 (Electronic)

ISSN-L

1438-8871

Statut éditorial

Publié

Date de publication

22/10/2024

Peer-reviewed

Oui

Volume

Pages

e54242

Langue

anglais

Notes

Publication types: Journal Article
Publication Status: epublish

Résumé

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.

Mots-clé

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

URN

urn:nbn:ch:serval-BIB_F025A85826A16

OAI-PMH

oai:serval.unil.ch:BIB_F025A85826A1

DOI

10.2196/54242

Pubmed

39437384

Open Access

Oui

Création de la notice

07/01/2024 12:54