Gender Bias in AI's Perception of Cardiovascular Risk

被引：0
|
作者：
Achtari, Margaux [1 ]
Salihu, Adil [2 ,3 ]
Muller, Olivier [2 ,3 ]
Abbe, Emmanuel [4 ,5 ]
Clair, Carole [1 ]
Schwarz, Joelle [1 ]
Fournier, Stephane [2 ,3 ]
机构：
[1] Univ Lausanne, Univ Ctr Primary Care & Publ Hlth Unisante, Hlth & Gender Unit, Lausanne, Switzerland
[2] Lausanne Univ Hosp, Dept Cardiol, 21 Rue Bugnon, CH-1011 Lausanne, Switzerland
[3] Univ Lausanne, 21 Rue Bugnon, CH-1011 Lausanne, Switzerland
[4] Ecole Polytech Fed Lausanne, Inst Math, Lausanne, Switzerland
[5] Ecole Polytech Fed Lausanne, Sch Comp & Commun Sci, Lausanne, Switzerland
来源：
JOURNAL OF MEDICAL INTERNET RESEARCH | 2024年 / 26卷
关键词：
artificial intelligence; gender equity; coronary artery disease; AI; cardiovascular; risk; CAD; artery; coronary; chatbot; healthcare; men; women; gender bias; gender;
D O I：
10.2196/54242
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
The study investigated gender bias in GPT-4's assessment of coronary artery disease risk by presenting identical clinical vignettesof men and women with and without psychiatric comorbidities. Results suggest that psychiatric conditions may influence GPT-4'scoronary artery disease risk assessment among men and women.
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页数：3
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