Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology

Artikeleigenschaften
  • Sprache
    English
  • DOI (url)
    10.1016/j.carj.2018.02.002
  • Veröffentlichungsdatum
    2018/05/01
  • Zeitschrift
    Canadian Association of Radiologists Journal
  • Indian UGC (Zeitschrift)
  • Auffrischen
    34
  • Zitate
    279
  • An Tang Department of Radiology, Université de Montréal, Montréal, Québec, CanadaCentre de recherche du Centre hospitalier de l'Université de Montréal, Montréal, Québec, Canada
  • Roger Tam Department of Radiology, University of British Columbia, Vancouver, British Columbia, CanadaSchool of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
  • Alexandre Cadrin-Chênevert Department of Medical Imaging, CISSS Lanaudière, Université Laval, Joliette, Québec, Canada
  • Will Guest Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
  • Jaron Chong Department of Radiology, McGill University Health Center, Montréal, Québec, Canada
  • Joseph Barfett Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
  • Leonid Chepelev Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
  • Robyn Cairns Department of Radiology, British Columbia's Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
  • J. Ross Mitchell Department of Research, Mayo Clinic, Phoenix, Arizona, USA
  • Mark D. Cicero Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
  • Manuel Gaudreau Poudrette Department of Radiology, Université de Sherbrooke, Sherbrooke, Québec, Canada
  • Jacob L. Jaremko Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada
  • Caroline Reinhold Department of Radiology, McGill University Health Center, Montréal, Québec, Canada
  • Benoit Gallix Department of Radiology, McGill University Health Center, Montréal, Québec, Canada
  • Bruce Gray Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
  • Raym Geis Department of Radiology, National Jewish Health, Denver, Colorado, USA
  • Timothy O'Connell
  • Paul Babyn
  • David Koff
  • Darren Ferguson
  • Sheldon Derkatch
  • Alexander Bilbily
  • Wael Shabana
Abstrakt
Login
Zitieren
Tang, An, et al. “Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology”. Canadian Association of Radiologists Journal, vol. 69, no. 2, 2018, pp. 120-35, https://doi.org/10.1016/j.carj.2018.02.002.
Tang, A., Tam, R., Cadrin-Chênevert, A., Guest, W., Chong, J., Barfett, J., Chepelev, L., Cairns, R., Mitchell, J. R., Cicero, M. D., Poudrette, M. G., Jaremko, J. L., Reinhold, C., Gallix, B., Gray, B., Geis, R., O’Connell, T., Babyn, P., Koff, D., … Shabana, W. (2018). Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology. Canadian Association of Radiologists Journal, 69(2), 120-135. https://doi.org/10.1016/j.carj.2018.02.002
Tang A, Tam R, Cadrin-Chênevert A, Guest W, Chong J, Barfett J, et al. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology. Canadian Association of Radiologists Journal. 2018;69(2):120-35.
Journalkategorien
Medicine
Medicine (General)
Medicine
Medicine (General)
Medical physics
Medical radiology
Nuclear medicine
Sie können auch mögen
Auffrischen
Login
Zitate
Login
Zitationsanalyse
Kategorie Kategorie Wiederholung
Medicine: Medicine (General)145
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine126
Medicine: Medicine (General): Medical technology19
Science: Mathematics: Instruments and machines: Electronic computers. Computer science18
Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens13
Die erste Studie, die diesen Artikel zitiert hat, trug den Titel Artificial intelligence and medical imaging 2018: French Radiology Community white paper und wurde in 2018. veröffentlicht. Die aktuellste Zitierung stammt aus einer 2024 Studie mit dem Titel Artificial intelligence and medical imaging 2018: French Radiology Community white paper Seinen Höhepunkt an Zitierungen erreichte dieser Artikel in 2022 mit 64 Zitierungen.Es wurde in 174 verschiedenen Zeitschriften zitiert., 29% davon sind Open Access. Unter den verwandten Fachzeitschriften wurde diese Forschung am häufigsten von Canadian Association of Radiologists Journal zitiert, mit 17 Zitierungen. Die folgende Grafik veranschaulicht die jährlichen Zitationstrends für diesen Artikel.
Zitate verwendeten diesen Artikel für Jahr