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Pros and cons of artificial intelligence implementation in diagnostic pathology.
van Diest, Paul J; Flach, Rachel N; van Dooijeweert, Carmen; Makineli, Seher; Breimer, Gerben E; Stathonikos, Nikolas; Pham, Paul; Nguyen, Tri Q; Veta, Mitko.
Afiliação
  • van Diest PJ; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Flach RN; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • van Dooijeweert C; Department of Oncological Urology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Makineli S; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Breimer GE; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Stathonikos N; Department of Surgical Oncology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Pham P; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Nguyen TQ; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Veta M; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
Histopathology ; 84(6): 924-934, 2024 May.
Article em En | MEDLINE | ID: mdl-38433288
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Inteligência Artificial Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Inteligência Artificial Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article