AI-ECG for early detection of atrial fibrillation: First-year results from a stroke prevention study in Shimizu, Japan.

Journal: Journal of arrhythmia
Published Date: Jul 4, 2025

Abstract

BACKGROUND: An artificial intelligence algorithm-guided electrocardiogram (AI-ECG) has been developed to detect atrial fibrillation (AF) in patients with sinus rhythm (SR). However, its utility for population-based screening remains unclear in Japan.

Authors

  • Mayumi Masumura
    Department of Cardiology Shizuoka City Shimizu Hospital Shizuoka Japan.
  • Atsuyuki Ohno
    Department of Cardiology Shizuoka City Shimizu Hospital Shizuoka Japan.
  • Haruhiko Yoshinaga
    Shizuoka City Shimizu Medical Association Shizuoka Japan.
  • Takeshi Sasaki
    Department of Next-Generation Pathology Information Networking, Faculty of Medicine, The University of Tokyo.
  • Yasuteru Yamauchi
    Department of Cardiology Japan Red Cross Yokohama City Bay Hospital Yokohama Kanagawa Japan.
  • Hitoshi Hachiya
    Cardiovascular Center Tsuchiura Kyodo Hospital Ibaraki Japan.
  • Atsushi Takahashi
    Department of Cardiology Yokosuka Kyosai Hospital Yokosuka Kanagawa Japan.
  • Yasushi Imai
    Division of Clinical Pharmacology and Division of Cardiovascular Medicine Jichi Medical University Shimotsuke Japan.
  • Hideo Fujita
    Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University.
  • Kensuke Ihara
    Department of Cardiovascular Medicine Institute of Science Tokyo Tokyo Japan.
  • Yusuke Ebana
    Department of Medical Genetics Institute of Science Tokyo Tokyo Japan.
  • Toshihiro Tanaka
    Department of Human Genetics and Disease Diversity Institute of Science Tokyo Tokyo Japan.
  • Tetsushi Furukawa
    Department of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University.
  • Tetsuo Sasano
    Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan. Electronic address: sasano.cvm@tmd.ac.jp.

Keywords

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