Abstract
There is tremendous interest in the radiology community to apply artificial intelligence (AI) to improve radiology workflow and improve patient care [ 1 Jaremko J.L. Azar M. Bromwich R. et al. Canadian Association of Radiologists white paper on ethical and legal issues related to artificial intelligence in radiology. Can Assoc Radiol J. 2019; 70: 107-118 Abstract Full Text Full Text PDF PubMed Scopus (48) Google Scholar ]. The potential for AI in radiology is broad, ranging from patient scheduling, image acquisition and processing, triage of examinations for interpretation, lesion detection, lesion characterization, and automated reporting [ 2 Choy G. Khalilzadeh O. Michalski M. et al. Current applications and future impact of machine learning in radiology. Radiology. 2018; 288: 318-328 Crossref PubMed Scopus (273) Google Scholar ].
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