Detection of Left Atrial Myopathy Using Artificial Intelligence-Enabled Electrocardiography.

Journal: Circulation. Heart failure
PMID: 34911362

Abstract

BACKGROUND: Left atrial (LA) myopathy is common in patients with heart failure and preserved ejection fraction and leads to the development of atrial fibrillation (AF). We investigated whether the likelihood of LA remodeling, LA dysfunction, altered hemodynamics, and risk for incident AF could be identified from a single 12-lead ECG using a novel artificial intelligence (AI)-enabled ECG analysis.

Authors

  • Frederik H Verbrugge
    Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN (F.H.V., Y.N.V.R., Z.I.A., P.A.F., P.A.N., F.L.-J., S.K., B.A.B.).
  • Yogesh N V Reddy
    Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN (F.H.V., Y.N.V.R., Z.I.A., P.A.F., P.A.N., F.L.-J., S.K., B.A.B.).
  • Zachi I Attia
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Paul A Friedman
    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.
  • Suraj Kapa
    Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Barry A Borlaug
    Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN (F.H.V., Y.N.V.R., Z.I.A., P.A.F., P.A.N., F.L.-J., S.K., B.A.B.).

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