Pros and cons of artificial intelligence implementation in diagnostic pathology.

Journal: Histopathology
Published Date:

Abstract

The rapid introduction of digital pathology has greatly facilitated development of artificial intelligence (AI) models in pathology that have shown great promise in assisting morphological diagnostics and quantitation of therapeutic targets. We are now at a tipping point where companies have started to bring algorithms to the market, and questions arise whether the pathology community is ready to implement AI in routine workflow. However, concerns also arise about the use of AI in pathology. This article reviews the pros and cons of introducing AI in diagnostic pathology.

Authors

  • Paul J van Diest
    Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Rachel N Flach
    Department of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands.
  • Carmen van Dooijeweert
    Department of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands c.vandooijeweert-3@umcutrecht.nl.
  • Seher Makineli
    Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Gerben E Breimer
    Department of Pathology, University Medical Center Utrecht, Utrecht, Netherlands.
  • Nikolas Stathonikos
    Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Paul Pham
    Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Tri Q Nguyen
    Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Mitko Veta
    Medical Image Analysis Group, Eindhoven University of Technology, Eindhoven, the Netherlands.