Artificial intelligence-based model for the recurrence of hepatocellular carcinoma after liver transplantation.

Journal: Surgery
PMID: 39181726

Abstract

BACKGROUND: Artificial intelligence-based models might improve patient selection for liver transplantation in hepatocellular carcinoma. The objective of the current study was to develop artificial intelligence-based deep learning models and determine the risk of recurrence after living donor liver transplantation for hepatocellular carcinoma.

Authors

  • Abdullah Altaf
    Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.
  • Ahmed Mustafa
    Department of Robotics and Artificial Intelligence, National University of Science and Technology, Islamabad, Pakistan.
  • Abdullah Dar
    Department of HPB and Liver Transplant Surgery, Shifa International Hospital, Islamabad, Pakistan.
  • Rashid Nazer
    Department of Radiology, Shifa International Hospital, Islamabad, Pakistan.
  • Shahzad Riyaz
    Department of Gastroenterology and Hepatology, Shifa International Hospital, Islamabad, Pakistan. Electronic address: https://twitter.com/shahzadriyaz.
  • Atif Rana
    Department of Radiology, Shifa International Hospital, Islamabad, Pakistan. Electronic address: https://twitter.com/atifranaIR.
  • Abu Bakar Hafeez Bhatti
    Department of HPB and Liver Transplant Surgery, Shifa International Hospital, Islamabad, Pakistan; Department of Surgery, Shifa Tameer-e-Millat University, Islamabad, Pakistan. Electronic address: Abubakar.hafeez@yahoo.com.

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