• Academic radiology · Apr 2019

    Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study.

    • Bo Gong, James P Nugent, William Guest, William Parker, Paul J Chang, Faisal Khosa, and Savvas Nicolaou.
    • MD Undergraduate Program, University of British Columbia, Vancouver, British Columbia, Canada; Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, 899 12th Avenue West, British Columbia V5Z 1M9, Canada. Electronic address: bogong.ustc@gmail.com.
    • Acad Radiol. 2019 Apr 1; 26 (4): 566-577.

    Rationale And ObjectivesArtificial intelligence (AI) has the potential to transform the clinical practice of radiology. This study investigated Canadian medical students' perceptions of the impact of AI on radiology, and their influence on the students' preference for radiology specialty.Materials And MethodsIn March 2018, an anonymous online survey was distributed to students at all 17 Canadian medical schools.ResultsAmong 322 respondents, 70 students considered radiology as the top specialty choice, and 133 as among the top three choices. Only a minority (29.3%) of respondents agreed AI would replace radiologists in foreseeable future, but a majority (67.7%) agreed AI would reduce the demand for radiologists. Even among first-choice respondents, 48.6% agreed AI caused anxiety when considering the radiology specialty. Furthermore, one-sixth of respondents who would otherwise rank radiology as the first choice would not consider radiology because of the anxiety about AI. Prior significant exposure to radiology and high confidence in understanding of AI were shown to decrease the anxiety level. Interested students valued the opinions of local radiologists, radiology conferences, and journals. Students were most interested in "expert opinions on AI" and "discussing AI in preclinical radiology lectures" to understand the impact of AI.ConclusionAnxiety related to "displacement" (not "replacement") of radiologists by AI discouraged many medical students from considering the radiology specialty. The radiology community should educate medical students about the potential impact of AI, to ensure radiology is perceived as a viable long-term career choice.Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

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