Pros and cons of artificial intelligence implementation in diagnostic pathology

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...

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Bibliographic Details
Published in:Histopathology 2024-05, Vol.84 (6), p.924-934
Main Authors: Diest, Paul J, Flach, Rachel N, Dooijeweert, Carmen, Makineli, Seher, Breimer, Gerben E, Stathonikos, Nikolas, Pham, Paul, Nguyen, Tri Q, Veta, Mitko
Format: Article
Language:English
Subjects:
algorithms
Artificial intelligence
diagnostics
digital pathology
implementation
keyword artificial intelligence
machine learning
Pathology
Therapeutic targets
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Summary: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. Companies are introducing algorithms to the market, and questions arise whether the pathology community is ready for artificial intelligence (AI) integration in routine practices. However, concerns regarding AI use in pathology are emerging. This review discusses the pros and cons of introducing AI in diagnostic pathology.
ISSN:0309-0167
1365-2559
DOI:10.1111/his.15153