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.

引用

页数：3

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