A deep learning algorithm for detecting acute myocardial infarction.

Journal: EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology
PMID: 33840640

Abstract

BACKGROUND: Delayed diagnosis or misdiagnosis of acute myocardial infarction (AMI) is not unusual in daily practice. Since a 12-lead electrocardiogram (ECG) is crucial for the detection of AMI, a systematic algorithm to strengthen ECG interpretation may have important implications for improving diagnosis.

Authors

  • Wen-Cheng Liu
    Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, R.O.C.
  • Chin-Sheng Lin
    Division of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
  • Chien-Sung Tsai
    Division of Cardiovascular Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center;
  • Tien-Ping Tsao
    Division of Cardiology, Heart Centre, Cheng Hsin General Hospital, Taipei 112, Taiwan.
  • Cheng-Chung Cheng
    Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Jun-Ting Liou
  • Wei-Shiang Lin
    Division of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
  • Shu-Meng Cheng
  • Yu-Sheng Lou
    School of Public Health, National Defense Medical Center, Taipei, Taiwan.
  • Chia-Cheng Lee
    Planning and Management Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Chin Lin
    School of Public Health, National Defense Medical Center, Taipei, Taiwan.

Keywords

External Resources

Popular Topics
Recent Journals