What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation.

King, Henry; Wright, Judy; Treanor, Darren; Williams, Bethany; Randell, Rebecca

King, Henry; Wright, Judy; Treanor, Darren; Williams, Bethany; Randell, Rebecca.

Afiliação

King H; Faculty of Medicine & Health, University of Leeds, Leeds, United Kingdom.
Wright J; Faculty of Medicine & Health, University of Leeds, Leeds, United Kingdom.
Treanor D; Faculty of Medicine & Health, University of Leeds, Leeds, United Kingdom.
Williams B; Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
Randell R; Department of Clinical Pathology, and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.

J Med Internet Res ; 25: e38039, 2023 04 24.

Article em En | MEDLINE | ID: mdl-37093631

Assuntos

Inteligência Artificial; Narração; Humanos; Aprendizado de Máquina; Patologia

Palavras-chave

AI; artificial intelligence; histopathology; implementation; machine learning; pathology; review

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Narração Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

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