Peer-Reviewed Publication
Can Assoc Radiol J2021;72(1):25-34.February 1, 2021Journal Article
Canadian Association of Radiologists White Paper on De-identification of Medical Imaging: Part 2, Practical Considerations.
William Parker1,2, Jacob L Jaremko3, Mark Cicero4,5, Marleine Azar6, Khaled El-Emam7, Bruce G Gray8, Casey Hurrell9, Flavie Lavoie-Cardinal10, Benoit Desjardins11, Andrea Lum12, Lori Sheremeta13, Emil Lee14, Caroline Reinhold15,16, An Tang17, Rebecca Bromwich18
1Department of Radiology, 8166University of British Columbia, Vancouver, British Columbia, Canada.
2SapienML Corp, Vancouver, British Columbia, Canada.
3Department of Radiology & Diagnostic Imaging, 3158University of Alberta, Edmonton, Canada.
416 Bit Inc, Toronto, Ontario, Canada.
5True North Imaging, Thornhill, Ontario, Canada.
6Department of Medicine, 5622Université de Montréal, Montréal, Quebec, Canada.
7School of Epidemiology and Public Health, University of Ottawa, Ontario, Canada.
8Department of Medical Imaging, University of Toronto, Toronto, Canada.
9103977Canadian Association of Radiologists, Ottawa, Canada.
10Department of Psychiatry and Neuroscience, Université Laval, Quebec, Canada.
11Department of Radiology, 6572University of Pennsylvania, PA, USA.
12Department of Medical Imaging, 70384Western University, London, Ontario, Canada.
1341464Northern Alberta Institute of Technology, Edmonton, Alberta, Canada.
1427355Fraser Health Authority, Vancouver, British Columbia, Canada.
1554473McGill University Health Center, McGill University, Montréal, Canada.
16Augmented Intelligence & Precision Health Laboratory of the Research Institute of 54473McGill University Health Centre, Montréal, Quebec, Canada.
17Department of Radiology, Radio-oncology, and Nuclear Medicine, 12368Universite de Montreal, Montréal, Quebec, Canada.
18Department of Law and Legal Studies, 6339Carleton University, Ottawa, Canada.
Abstract
The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboration between different sites or data transfer to a third party, precautions are required to safeguard patient privacy. Safety measures are required to pr…
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