Details

Autor(en) / Beteiligte

• Diest, Paul J
• Flach, Rachel N
• Dooijeweert, Carmen
• Makineli, Seher
• Breimer, Gerben E
• Stathonikos, Nikolas
• Pham, Paul
• Nguyen, Tri Q
• Veta, Mitko

Titel

Pros and cons of artificial intelligence implementation in diagnostic pathology

Ist Teil von

• Histopathology, 2024-05, Vol.84 (6), p.924-934

Ort / Verlag

England: Wiley Subscription Services, Inc

Erscheinungsjahr

2024

Quelle

Wiley Online Library - AutoHoldings Journals

Beschreibungen/Notizen

• 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.