Artificial intelligence-based algorithms for the diagnosis of prostate cancer: A systematic review.

Journal: American journal of clinical pathology
Published Date: Jun 3, 2024

Abstract

OBJECTIVES: The high incidence of prostate cancer causes prostatic samples to significantly affect pathology laboratories workflow and turnaround times (TATs). Whole-slide imaging (WSI) and artificial intelligence (AI) have both gained approval for primary diagnosis in prostate pathology, providing physicians with novel tools for their daily routine.

Authors

  • Stefano Marletta
    Department of Diagnostics and Public Health, 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.
  • Filippo Maria Martelli
    Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy.
  • Nicola Santonicco
    Department of Pathology and Diagnostics, Section of Pathology, University Hospital of Verona, Verona, Italy.
  • Ilaria Girolami
    Division of Pathology, Central Hospital Bolzano, Bolzano, Italy.
  • Aldo Scarpa
    Department of Diagnostics and Public Health, University of Verona, Verona, Italy; ARC-Net Research Centre, University of Verona, Verona, Italy.
  • Fabio Pagni
    Department of Medicine and Surgery, ASST Monza, San Gerardo Hospital, University of Milano-Bicocca, Monza, Italy.
  • Vincenzo L'Imperio
    Department of Medicine and Surgery, ASST Monza, San Gerardo Hospital, University of Milano-Bicocca, Monza, Italy.
  • Liron Pantanowitz
    Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
  • Stefano Gobbo
    Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
  • Davide Seminati
    Department of Medicine and Surgery, Pathology, University of Milano-Bicocca, IRCCS (Scientific Institute for Research, Hospitalization and Healthcare) Fondazione San Gerardo dei Tintori, Monza, Italy.
  • Angelo Paolo Dei Tos
    Surgical Pathology & Cytopathology Unit, Department of Medicine - DIMED, University of Padua, Padua, Italy.
  • Anil Parwani
    Department of Pathology.

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