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Pros and cons of artificial intelligence implementation in diagnostic pathology.

Paul J van DiestRachel N FlachCarmen van DooijeweertSeher MakineliGerben E BreimerNikolas StathonikosPaul PhamTri Q NguyenMitko Veta
Published in: Histopathology (2024)
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.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • healthcare
  • primary care
  • mental health
  • ms ms
  • systematic review
  • high resolution
  • high performance liquid chromatography
  • meta analyses