Publication

Gender Bias in AI's Perception of Cardiovascular Risk

Emmanuel Abbé
2024

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.

Official source

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Gender Bias in AI's Perception of Cardiovascular Risk

Chat with Graph Search

Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data

The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions

Can we trust explainable artificial intelligence in wind power forecasting?