Opportunistic Screening for Asymptomatic Left Ventricular Dysfunction With the Use of Electrocardiographic Artificial Intelligence: A Cost-Effectiveness Approach.

Journal: The Canadian journal of cardiology
PMID: 38092190

Abstract

BACKGROUND: The burden of asymptomatic left ventricular dysfunction (LVD) is greater than that of heart failure; however, a cost-effective tool for asymptomatic LVD screening has not been well validated. We aimed to prospectively validate an artificial intelligence (AI)-enabled electrocardiography (ECG) algorithm for asymptomatic LVD detection and evaluate its cost-effectiveness for opportunistic screening.

Authors

  • Wei-Ting Liu
    Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Ping-Hsuan Hsieh
    School of Pharmacy, National Denfense Medical Center, Taipei, Taiwan.
  • Chin-Sheng Lin
    Division of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
  • Wen-Hui Fang
    Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
  • Chih-Hung Wang
    National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.
  • Chien-Sung Tsai
    Division of Cardiovascular Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center;
  • Yi-Jen Hung
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Chung-Bao Hsieh
    Department of Surgery, Kaohsiung Armed Forces General Hospital, Kaohsiung 802, Taiwan, R.O.C.
  • Chin Lin
    School of Public Health, National Defense Medical Center, Taipei, Taiwan.
  • Dung-Jang Tsai
    Center for Artificial Intelligence and Internet of Things, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.

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