Validation of Noninvasive Detection of Hyperkalemia by Artificial Intelligence-Enhanced Electrocardiography in High Acuity Settings.

Journal: Clinical journal of the American Society of Nephrology : CJASN
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) electrocardiogram (ECG) analysis can enable detection of hyperkalemia. In this validation, we assessed the algorithm's performance in two high acuity settings.

Authors

  • David M Harmon
    Department of Internal Medicine, Mayo Clinic School of Graduate Medical Education, Rochester, Minnesota, USA.
  • Kan Liu
    Department of Urology, Hunan Cancer Hospital, Changsha, Hunan, China.
  • Jennifer Dugan
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN.
  • Jacob C Jentzer
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • 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.
  • John J Dillon
    Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota.