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Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology.
Tang, An; Tam, Roger; Cadrin-Chênevert, Alexandre; Guest, Will; Chong, Jaron; Barfett, Joseph; Chepelev, Leonid; Cairns, Robyn; Mitchell, J Ross; Cicero, Mark D; Poudrette, Manuel Gaudreau; Jaremko, Jacob L; Reinhold, Caroline; Gallix, Benoit; Gray, Bruce; Geis, Raym.
Afiliação
  • Tang A; Department of Radiology, Université de Montréal, Montréal, Québec, Canada; Centre de recherche du Centre hospitalier de l'Université de Montréal, Montréal, Québec, Canada. Electronic address: an.tang@umontreal.ca.
  • Tam R; Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada; School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
  • Cadrin-Chênevert A; Department of Medical Imaging, CISSS Lanaudière, Université Laval, Joliette, Québec, Canada.
  • Guest W; Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
  • Chong J; Department of Radiology, McGill University Health Center, Montréal, Québec, Canada.
  • Barfett J; Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
  • Chepelev L; Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada.
  • Cairns R; Department of Radiology, British Columbia's Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada.
  • Mitchell JR; Department of Research, Mayo Clinic, Phoenix, Arizona, USA.
  • Cicero MD; Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
  • Poudrette MG; Department of Radiology, Université de Sherbrooke, Sherbrooke, Québec, Canada.
  • Jaremko JL; Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.
  • Reinhold C; Department of Radiology, McGill University Health Center, Montréal, Québec, Canada.
  • Gallix B; Department of Radiology, McGill University Health Center, Montréal, Québec, Canada.
  • Gray B; Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
  • Geis R; Department of Radiology, National Jewish Health, Denver, Colorado, USA.
Can Assoc Radiol J ; 69(2): 120-135, 2018 May.
Article em En | MEDLINE | ID: mdl-29655580
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Inteligência Artificial Tipo de estudo: Guideline / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Can Assoc Radiol J Assunto da revista: RADIOLOGIA Ano de publicação: 2018 Tipo de documento: Article País de publicação: Estados Unidos
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: Guideline / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Can Assoc Radiol J Assunto da revista: RADIOLOGIA Ano de publicação: 2018 Tipo de documento: Article País de publicação: Estados Unidos