Pros and cons of artificial intelligence implementation in diagnostic pathology

Histopathology. 2024 May;84(6):924-934. doi: 10.1111/his.15153. Epub 2024 Mar 3.

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.

Keywords: algorithms; diagnostics; digital pathology; implementation; keyword artificial intelligence; machine learning.

Publication types

  • Review

MeSH terms

  • Algorithms*
  • Artificial Intelligence*
  • Humans
  • Workflow