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Gender Bias in AI's Perception of Cardiovascular Risk
Margaux Achtari;
Adil Salihu;
Olivier Muller;
Emmanuel Abbé;
Carole Clair;
Joëlle Schwarz;
Stéphane Fournier
ABSTRACT
This study explored gender bias in AI's clinical decision-making for coronary artery disease (CAD) using GPT-4. Findings indicated that the presence of a psychiatric comorbidity caused GPT-4 to prioritize CAD risk differently between genders, suggesting potential gender bias and emphasizing the need for further investigation regarding its use for healthcare.
Citation
Please cite as:
Achtari M, Salihu A, Muller O, Abbé E, Clair C, Schwarz J, Fournier S
Gender Bias in AI's Perception of Cardiovascular Risk