A deep learning framework for personalised dynamic diagnosis of graft fibrosis after liver transplantation: a retrospective, single Canadian centre, longitudinal study.

Journal: The Lancet. Digital health
PMID: 37210229

Abstract

BACKGROUND: Recurrent graft fibrosis after liver transplantation can threaten both graft and patient survival. Therefore, early detection of fibrosis is essential to avoid disease progression and the need for retransplantation. Non-invasive blood-based biomarkers of fibrosis are limited by moderate accuracy and high cost. We aimed to evaluate the accuracy of machine learning algorithms in detecting graft fibrosis using longitudinal clinical and laboratory data.

Authors

  • Amirhossein Azhie
    Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Divya Sharma
    Biostatistics Department, Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada.
  • Priya Sheth
    Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Fakhar Ali Qazi-Arisar
    Division of Gastroenterology & Hepatology, Department of Medicine, University of Toronto, Toronto, ON, Canada; Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Rita Zaya
    Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Maryam Naghibzadeh
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Kai Duan
    Department of Pathology, University Health Network, Toronto, ON, Canada.
  • Sandra Fischer
    Department of Pathology, University Health Network, Toronto, ON, Canada.
  • Keyur Patel
    Toronto Centre for Liver Disease, University Health Network, Toronto, ON, Canada; Division of Gastroenterology, University Health Network, Toronto, ON, Canada.
  • Cynthia Tsien
    Ajmera Transplant Program, University Health Network, Toronto, ON, Canada; Division of Gastroenterology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Nazia Selzner
    Ajmera Transplant Program, University Health Network, Toronto, ON, Canada; Division of Gastroenterology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Leslie Lilly
    Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Elmar Jaeckel
    Ajmera Transplant Program, University Health Network, Toronto, ON, Canada; Division of Gastroenterology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Wei Xu
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471023 China.
  • Mamatha Bhat
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.

Keywords

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