Prediction of the Presence of Ventricular Fibrillation From a Brugada Electrocardiogram Using Artificial Intelligence.

Journal: Circulation journal : official journal of the Japanese Circulation Society
Published Date: Nov 12, 2022

Abstract

BACKGROUND: Brugada syndrome is a potential cause of sudden cardiac death (SCD) and is characterized by a distinct ECG, but not all patients with A Brugada ECG develop SCD. In this study we sought to examine if an artificial intelligence (AI) model can predict a previous or future ventricular fibrillation (VF) episode from a Brugada ECG.

Authors

  • Tomofumi Nakamura
    Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
  • Takeshi Aiba
    Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center.
  • Wataru Shimizu
  • 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.

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