Machine learning improves post-transplantation hepatocellular carcinoma recurrence prediction.

Journal: Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
Published Date: Jul 15, 2025

Abstract

BACKGROUND: To enhance post-transplantation hepatocellular carcinoma (HCC) recurrence prediction by evaluating additional novel risk factors and leveraging state-of-the-art machine learning (ML) algorithms.

Authors

  • P Jonathan Li
    ■.
  • Amir Ashraf Ganjouei
    Department of Surgery, University of California, San Francisco, San Francisco, California, United States.
  • Shareef Syed
    ■.
  • Neil Mehta
    Cleveland Clinic, USA.
  • Adnan Alseidi
    Department of Surgery, University of California, San Francisco, CA, USA.
  • Mohamed A Adam
    Department of Surgery, Division of Surgical Oncology, University of California, San Francisco, CA, USA. mohamed.adam@ucsf.edu.

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