AI-powered prediction of HCC recurrence after surgical resection: Personalised intervention opportunities using patient-specific risk factors.

Journal: Liver international : official journal of the International Association for the Study of the Liver
PMID:

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) recurrence following surgical resection remains a significant clinical challenge, necessitating reliable predictive models to guide personalised interventions. In this study, we sought to harness the power of artificial intelligence (AI) to develop a robust predictive model for HCC recurrence using comprehensive clinical datasets.

Authors

  • Seid Miad Zandavi
    School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia.
  • Christy Kim
    St George and Sutherland Clinical Campuses, University of New South Wales, Sydney, New South Wales, Australia.
  • Thomas Goodwin
    Department of Gastroenterology and Hepatology, The Alfred Hospital, Melbourne, Victoria, Australia.
  • Cynthuja Thilakanathan
    St George and Sutherland Clinical Campuses, University of New South Wales, Sydney, New South Wales, Australia.
  • Maryam Bostanara
    School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia.
  • Anna Camille Akon
    St George and Sutherland Clinical Campuses, University of New South Wales, Sydney, New South Wales, Australia.
  • Daniel Al Mouiee
    Graduate School of Biomedical Engineering, University of New South Wales, Kensington, NSW, Australia.
  • Sasha Barisic
    School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia.
  • Ammar Majeed
    Department of Gastroenterology and Hepatology, The Alfred Hospital, Melbourne, Victoria, Australia.
  • William Kemp
    Department of Gastroenterology and Hepatology, The Alfred Hospital, Melbourne, Victoria, Australia.
  • Francis Chu
    Department of Liver Surgery, St George Hospital, University of New South Wales, Sydney, New South Wales, Australia.
  • Marty Smith
    Department of Hepatobiliary Surgery, The Alfred Hospital, Melbourne, Victoria, Australia.
  • Kate Collins
    Department of Gastroenterology and Hepatology, The Austin Hospital, Melbourne, Victoria, Australia.
  • Vincent Wai-Sun Wong
    Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Grace Lai-Hung Wong
    Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Jason Behary
    St George and Sutherland Clinical Campuses, University of New South Wales, Sydney, New South Wales, Australia.
  • Stuart K Roberts
    Department of Gastroenterology and Hepatology, The Alfred Hospital, Melbourne, Victoria, Australia.
  • Kelvin K C Ng
    Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
  • Fatemeh Vafaee
    School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia.
  • Amany Zekry
    St George and Sutherland Clinical Campuses, University of New South Wales, Sydney, New South Wales, Australia.