Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.

Journal: Journal of nephrology
Published Date:

Abstract

BACKGROUND: Transplant nephropathology is a highly specialized field of pathology comprising both the evaluation of organ donor biopsy for organ allocation and post-transplant graft biopsy for assessment of rejection or graft damage. The introduction of digital pathology with whole-slide imaging (WSI) in clinical research, trials and practice has catalyzed the application of artificial intelligence (AI) for histopathology, with development of novel machine-learning models for tissue interrogation and discovery. We aimed to review the literature for studies specifically applying AI algorithms to WSI-digitized pre-implantation kidney biopsy.

Authors

  • Ilaria Girolami
    Division of Pathology, Central Hospital Bolzano, Bolzano, Italy.
  • Liron Pantanowitz
    Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
  • Stefano Marletta
    Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy.
  • Meyke Hermsen
    Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Jeroen van der Laak
    Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Enrico Munari
    Pathology Unit, Department of Molecular and Translational Medicine, Spedali Civili-University of Brescia, Brescia, Italy.
  • Lucrezia Furian
    Department of Surgical, Oncological and Gastroenterological Sciences, Unit of Kidney and Pancreas Transplantation, University of Padua, Padua, Italy.
  • Fabio Vistoli
  • Gianluigi Zaza
    Department of Nephro-Urology, Nephrology, Dialysis and Transplant Unit, University of Foggia, Foggia, Italy.
  • Massimo Cardillo
    National Transplant Center, Rome, Italy.
  • Loreto Gesualdo
    Department of Diagnostic Pathology, Bioimages and Public Health, Policlinic University Hospital, Bari, Italy.
  • Giovanni Gambaro
    Department of General Medicine, Renal Unit, University and Hospital Trust of Verona, Verona, Italy.
  • Albino Eccher
    Department of Pathology and Diagnostics, University and Hospital Trust of Verona, P.le Stefani n. 1, 37126, Verona, Italy. albino.eccher@aovr.veneto.it.