DECIDE-AI: a new reporting guideline and its relevance to artificial intelligence studies in radiology.

Vasey, B; Novak, A; Ather, S; Ibrahim, M; McCulloch, P

Vasey, B; Novak, A; Ather, S; Ibrahim, M; McCulloch, P.

Afiliação

Vasey B; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK; Department of Surgery, Geneva University Hospital, Geneva, Switzerland. Electronic address: baptiste.vasey@nds.ox.ac.uk.
Novak A; Emergency Medicine Research Oxford (EMROx), Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Ather S; National Consortium for Intelligent Medical Imaging, University of Oxford, Oxford, UK; Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Ibrahim M; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK; Department of Surgery, Maimonides Medical Center, Brooklyn, NY, USA.
McCulloch P; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

Clin Radiol ; 78(2): 130-136, 2023 02.

Article em En | MEDLINE | ID: mdl-36639172

Assuntos

Inteligência Artificial; Radiologia; Humanos; Radiologistas; Radiografia; Projetos de Pesquisa

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Clin Radiol Ano de publicação: 2023 Tipo de documento: Article País de publicação: Reino Unido

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google