Performance of convolutional neural network-enhanced electrocardiography in detecting acute coronary syndrome: focusing on subtypes and reduced leads.

Journal: Journal of cardiology
Published Date: May 29, 2025

Abstract

BACKGROUND: Early and accurate diagnosis of acute coronary syndrome (ACS), particularly non-ST-elevation ACS (NSTE-ACS), remains a critical challenge in emergency settings. Despite advancements in diagnostic modalities, conventional electrographic (ECG) interpretation often fails to detect subtle ischemic changes, particularly in NSTE-ACS, highlighting the need for artificial intelligence (AI)-driven approaches.

Authors

  • Koichiro Hori
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan. Electronic address: moat.lights09@gmail.com.
  • Shinya Suzuki
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Naomi Hirota
    Department of Cardiovascular Medicine, The Cardiovascular Institute, 3-2-19 Nishiazabu, Minato-Ku, Tokyo, 106-0031, Japan. n-hirota@cvi.or.jp.
  • Jun Motogi
    Nihon Kohden Corporation, Tokyo, Japan.
  • Takuya Umemoto
    Nihon Kohden Corporation, Tokyo, Japan.
  • Hiroshi Nakai
    Information System Division, The Cardiovascular Institute, Tokyo, Japan.
  • Wataru Matsuzawa
    Nihon Kohden Corporation, Tokyo, Japan.
  • Tsuneo Takayanagi
    Nihon Kohden Corporation, Tokyo, Japan.
  • Akira Hyodo
    Nihon Kohden Corporation, Tokyo, Japan.
  • Keiichi Satoh
    Nihon Kohden Corporation, Tokyo, Japan.
  • Takuto Arita
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Naoharu Yagi
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Mikio Kishi
    Department of Cardiovascular Medicine, The Cardiovascular Institute, 3-2-19 Nishiazabu, Minato-Ku, Tokyo, 106-0031, Japan.
  • Hiroto Kano
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Shunsuke Matsuno
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Yuko Kato
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Takayuki Otsuka
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Tokuhisa Uejima
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Junji Yajima
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Yasuo Okumura
    Division of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Yuji Oikawa
    Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
  • Takeshi Yamashita
    The Cardiovascular Institute Tokyo Japan.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals