Feasibility of using deep learning to detect coronary artery disease based on facial photo

Lin, Shen; Li, Zhigang; Fu, Bowen; Chen, Sipeng; Li, Xi; Wang, Yang; Wang, Xiaoyi; Lv, Bin; Xu, Bo; Song, Xiantao; Zhang, Yao-Jun; Cheng, Xiang; Huang, Weijian; Pu, Jun; Zhang, Qi; Xia, Yunlong; Du, Bai; Ji, Xiangyang; Zheng, Zhe

doi:10.1093/eurheartj/ehaa640

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Feasibility of using deep learning to detect coronary artery disease based on facial photo

Shared by NobleBlocks on Aug 20, 2020 • 12:00 AM UTC

Authors:

Shen Lin

Zhigang Li

Bowen Fu

Abstract

Abstract Aims Facial features were associated with increased risk of coronary artery disease (CAD). We developed and validated a deep learning algorithm for detecting CAD based on facial photos. Methods and results We conducted a multicentre cross-sectional study of patients undergoing coronary angi...

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