Artificial Intelligence in Liver Transplantation.

Journal: Transplantation proceedings
Published Date:

Abstract

BACKGROUND: Advancements based on artificial intelligence have emerged in all areas of medicine. Many decisions in organ transplantation can now potentially be addressed in a more precise manner with the aid of artificial intelligence.

Authors

  • Shirin Elizabeth Khorsandi
    Institute of Liver Studies, King's College Hospital, Denmark Hill, London, UK; Institute of Hepatology, Foundation for Liver Research, Denmark Hill, London, UK; Faculty of Life Sciences & Medicine, King's College London, Strand, London, UK.
  • Hailey J Hardgrave
    College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
  • Tamara Osborn
    Department of Surgery, University of Arkansas for Medical Sciences Medical Center, Little Rock, Arkansas.
  • Garrett Klutts
    Department of Surgery, University of Arkansas for Medical Sciences Medical Center, Little Rock, Arkansas.
  • Joe Nigh
    Department of Surgery, University of Arkansas for Medical Sciences Medical Center, Little Rock, Arkansas.
  • Richard T Spencer-Cole
    College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
  • Christos D Kakos
    Surgery Working Group, Society of Junior Doctors, Athens, Greece.
  • Ioannis Anastasiou
    Department of Medicine, University of Arkansas for Medical Sciences Medical Center, Little Rock, Arkansas.
  • Michail N Mavros
    Department of Surgery, University of Arkansas for Medical Sciences Medical Center, Little Rock, Arkansas; Surgical Oncology, University of Arkansas for Medical Sciences Winthrop P. Rockefeller Cancer Institute, Little Rock, Arkansas.
  • Emmanouil Giorgakis
    Department of Surgery, University of Arkansas for Medical Sciences Medical Center, Little Rock, Arkansas; Surgical Oncology, University of Arkansas for Medical Sciences Winthrop P. Rockefeller Cancer Institute, Little Rock, Arkansas. Electronic address: EGiorgakis@uams.edu.