Artificial Intelligence ECG Diastolic Dysfunction and Survival in Cardiac Intensive Care Unit Patients.

Journal: Journal of the American Heart Association
PMID: 39968804

Abstract

BACKGROUND: Left ventricular diastolic dysfunction (LVDD) predicts mortality in patients in cardiac intensive care units. An artificial intelligence enhanced ECG (AIECG) algorithm can predict LVDD and mortality in general populations but has not been examined in cardiac intensive care units.

Authors

  • Jacob C Jentzer
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Eunjung Lee
    Department of Computational Science and Engineering, Yonsei University, Seoul, Korea.
  • Zachi Attia
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Dustin Hillerson
    Department of Cardiovascular Medicine Mayo Clinic Rochester MN USA.
  • Garvan C Kane
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Francisco Lopez-Jimenez
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Peter A Noseworthy
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
  • Paul A Friedman
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Jae K Oh
    Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.

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