Electrocardiography-based Artificial Intelligence Algorithms Aid in Prediction of Long-term Mortality After Kidney Transplantation.

Abstract

Authors

• Niv Pencovich
  Department of General Surgery and Transplantation, Sheba Medical Center, Tel-Hashomer, Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. niv.pencovich1@gmail.com.
• Byron H Smith
  William J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, Minnesota; and.
• Zachi I Attia
  Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
• Francisco Lopez Jimenez
  Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN.
• Andrew J Bentall
  William J von Liebig Centre for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN, USA.
• Carrie A Schinstock
  Departments of Surgery and Immunology, William J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN.
• Hasan A Khamash
  Department of Medicine, Mayo Clinic, Phoenix, AZ.
• Caroline C Jadlowiec
  Division of Transplant Surgery, Department of Surgery, Mayo Clinic, Phoenix, AZ.
• Tambi Jarmi
  Department of Transplant, Mayo Clinic Florida, Jacksonville, FL.
• Shennen A Mao
  Division of Transplant Surgery, Department of Surgery, Mayo Clinic, Phoenix, AZ.
• Walter D Park
  Departments of Surgery and Immunology, William J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN.
• Tayyab S Diwan
  Division of Transplant Surgery, Mayo Clinic, Rochester, Minnesota, USA.
• Paul A Friedman
  Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
• Mark D Stegall
  Divisions of Transplantation surgery.

Keywords

External Resources