Artificial Intelligence-Enhanced Electrocardiography for Prediction of Occult Atrial Fibrillation in Patients With Stroke Who Undergo Prolonged Cardiac Monitoring.

Journal: Mayo Clinic proceedings
Published Date: Jul 2, 2025

Abstract

OBJECTIVE: To evaluate the performance of an artificial intelligence (AI)-enhanced electrocardiography (ECG; AI-ECG) algorithm to predict atrial fibrillation (AF) detection on prolonged cardiac monitoring (PCM) after index stroke.

Authors

  • Carmen R Holmes
    Department of Neurology, Mayo Clinic, Rochester, MN.
  • Ahmed K Ahmed
    Department of Neurology, Mayo Clinic, Jacksonville, FL.
  • Kathryn E Mangold
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Peter A Noseworthy
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
  • Francisco Lopez-Jimenez
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Jonathan Graff-Radford
    Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA.
  • Alejandro A Rabinstein
    Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Stephen W English
    Department of Neurology, Mayo Clinic, Jacksonville, FL.

Keywords

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