The study investigated gender bias in GPT-4’s assessment of coronary artery disease risk and showed that there was a substantial shift in the perception of risk between men and women when a psychiatric comorbidity was added to the vignette, even when they presented identical complaints.
This resulted in women being assessed as having as lower risk of CAD when concurrently having a psychiatric condition.
Learn more about this study here: https://www.jmir.org/2024/1/e54242
Reference
Achtari M, Salihu A, Muller O, Abbé E, Clair C, Schwarz J, Fournier S
Gender Bias in AI’s Perception of Cardiovascular Risk
J Med Internet Res 2024;26:e54242
DOI: 10.2196/54242