Artificial intelligence-powered advancements in atrial fibrillation diagnostics: a systematic review.

Journal: The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology
Published Date: Jul 23, 2025

Abstract

BACKGROUND: Cardiovascular diseases remain one of the leading causes of mortality worldwide, with atrial fibrillation emerging as a clinically significant arrhythmia. The increasing prevalence of atrial fibrillation calls for advanced diagnostic tools for accurate detection to reduce adverse consequences, such as stroke and heart failure. Cardiovascular advancements in artificial intelligence have improved the detection and management of atrial fibrillation.

Authors

  • Sofia Khaja
    City University of New York (CUNY) School of Medicine, New York, United States. skhaja000@citymail.cuny.edu.
  • Kevin Baijoo
    City University of New York (CUNY) School of Medicine, New York, United States.
  • Reza Aziz
    City University of New York (CUNY) School of Medicine, New York, United States.

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