Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning.

Abstract

Authors

• Zhengkai Xue
  Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, China.
• Shijia Geng
  HeartVoice Medical Technology, Hefei, 230027, China.
• Shaohua Guo
  Department of General Surgery, The Eighth Medical Center, Chinese PLA General Hospital, Haidian District, No.Jia17, Heishanhu Road, Beijing, 100089, China.
• Guanyu Mu
  Department of Echocardiography, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
• Bo Yu
  Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
• Peng Wang
  Neuroengineering Laboratory, School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
• Sutao Hu
  Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, China.
• Deyun Zhang
  HeartVoice Medical Technology, Hefei, 230027, China.
• Weilun Xu
  HeartVoice Medical Technology, Hefei, China.
• Yanhong Liu
  Department of Animal Science, University of California, Davis, CA 95616, USA.
• Lei Yang
  George Mason University.
• Huayue Tao
  The Second Hospital of Tianjin Medical University, Tianjin, China. 85987780@qq.com.
• Shenda Hong
  National Institute of Health Data Science at Peking University, Peking University, 100871 Beijing, China.
• Kangyin Chen
  Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, China. chenkangyin@vip.126.com.

Keywords

External Resources