Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review.

Journal: BMC medical informatics and decision making
PMID: 39994720

Abstract

BACKGROUND: The principles of urgency, utility, and benefit are fundamental concepts guiding the ethical and practical decision-making process for organ allocation; however, LT allocation still follows an urgency model.

Authors

  • Lisiane Pruinelli
    Institute for Health Informatics, University of Minnesota, Minneapolis, MN.
  • Kiruthika Balakrishnan
    Department of Family, Community and Health Systems Science, University of Florida, Gainesville, FL, USA.
  • Sisi Ma
    Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA.
  • Zhigang Li
    Hefei Institute of Physical Science, Chinese Academy of Sciences Hefei 230036 PR China liuyong@aiofm.ac.cn zhanglong@aiofm.ac.cn wangchongwen1987@126.com.
  • Anji Wall
    Baylor University Medical Center in Dallas, Dallas, Texas, USA.
  • Jennifer C Lai
    University of California, San Francisco, California, USA.
  • Jesse D Schold
    Departments of Surgery and Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
  • Timothy Pruett
    Department of Surgery, University of Minnesota, Minneapolis, Minnesota, US.
  • Gyorgy Simon
    University of Minnesota, Institute for Health Informatics.

Keywords

External Resources

Popular Topics
Recent Journals