Postdevelopment Performance and Validation of the Artificial Intelligence-Enhanced Electrocardiogram for Detection of Cardiac Amyloidosis.

Journal: JACC. Advances
Published Date: Sep 14, 2023

Abstract

BACKGROUND: We have previously applied artificial intelligence (AI) to an electrocardiogram (ECG) to detect cardiac amyloidosis (CA).

Authors

  • David M Harmon
    Department of Internal Medicine, Mayo Clinic School of Graduate Medical Education, Rochester, Minnesota, USA.
  • Kathryn Mangold
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Abraham Baez Suarez
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Christopher G Scott
    Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
  • Dennis H Murphree
    Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
  • Awais Malik
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Zachi I Attia
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Francisco Lopez-Jimenez
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Paul A Friedman
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Angela Dispenzieri
    Division of Hematology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Martha Grogan
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

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