Pros and cons of artificial intelligence implementation in diagnostic pathology
Publication date
2024-05
Authors
van Diest, Paul
Flach, Rachel
van Dooijeweert, Carmen
Makineli, Seher
Breimer, Gerben E
Stathonikos, Nikolas
Pham, Paul
Nguyen, Tri Q
Veta, Mitko
Editors
Advisors
Supervisors
Document Type
Article
Metadata
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License
cc_by_nc_nd
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, Pathology and Forensic Medicine, Histology, Journal Article, Review
Citation
van Diest, P J, Flach, R N, van Dooijeweert, C, Makineli, S, Breimer, G E, Stathonikos, N, Pham, P, Nguyen, T Q & Veta, M 2024, 'Pros and cons of artificial intelligence implementation in diagnostic pathology', Histopathology, vol. 84, no. 6, pp. 924-934. https://doi.org/10.1111/his.15153