How does artificial intelligence in radiology improve efficiency and health outcomes?

van Leeuwen, Kicky G; de Rooij, Maarten; Schalekamp, Steven; van Ginneken, Bram; Rutten, Matthieu J C M

van Leeuwen, Kicky G; de Rooij, Maarten; Schalekamp, Steven; van Ginneken, Bram; Rutten, Matthieu J C M.

Afiliação

van Leeuwen KG; Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands. kicky.vanleeuwen@radboudumc.nl.
de Rooij M; Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
Schalekamp S; Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
van Ginneken B; Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
Rutten MJCM; Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.

Pediatr Radiol ; 52(11): 2087-2093, 2022 10.

Article em En | MEDLINE | ID: mdl-34117522

Assuntos

Inteligência Artificial; Radiologia; Meios de Contraste; Humanos; Avaliação de Resultados em Cuidados de Saúde; Radiografia

Palavras-chave

Artificial intelligence; Evidence-based practice; Impact analysis; Innovation; Pediatrics; Radiology; Value-based health care

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Pediatr Radiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda

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