Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology

Article Properties

Language

English
DOI (url)

10.1016/j.carj.2018.02.002
Publication Date

2018/05/01
Journal

Canadian Association of Radiologists Journal
Indian UGC (Journal)
Refrences

34
Citations

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

Abstract

Cite

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.

Journal Categories

Medicine

Medicine (General)

Medicine

Medicine (General)

Medical physics

Medical radiology

Nuclear medicine

Refrences

Citations

Citations Analysis

Category	Category Repetition
Medicine: Medicine (General)	145
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine	126
Medicine: Medicine (General): Medical technology	19
Science: Mathematics: Instruments and machines: Electronic computers. Computer science	18
Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens	13

The first research to cite this article was titled Artificial intelligence and medical imaging 2018: French Radiology Community white paper and was published in 2018. The most recent citation comes from a 2024 study titled Artificial intelligence and medical imaging 2018: French Radiology Community white paper . This article reached its peak citation in 2022 , with 64 citations.It has been cited in 174 different journals, 29% of which are open access. Among related journals, the Canadian Association of Radiologists Journal cited this research the most, with 17 citations. The chart below illustrates the annual citation trends for this article.