Medical Students’ Perspectives on Artificial Intelligence in Radiology:
The Current Understanding and Impact on Radiology as a Future
Specialty Choice

Ali      Alamer

doi:10.2174/1573405618666220907111422

Abstract

Background: Medical students' career choices and motivations might be significantly impacted by the rapid advances in artificial intelligence (AI) and the recent hype around it.

Objective: This study aimed to assess the impact of AI on medical students’ preferences for radiology as a future specialty choice.

Methods: A cross-sectional study was conducted between October and December 2021 among all medical students in the three regional medical colleges in Al-Qassim Province, Saudi Arabia.

Results: The survey resulted in 319 complete responses. Among the respondents, 26.96% considered radiology to be one of their top three future specialty choices. Only a minority of the respondents (23.2%) believed that radiologists would be replaced by AI during their lifetime. The misperceptions of the potential impact of AI led 22.26% of the students to be less likely to consider a career in radiology. Students with an interest in radiology were less influenced by such misperceptions (p=.01). Based on self-reported confidence measures, the basic understanding of AI was higher among students with an interest in radiology and students with prior exposure to AI (p<.05).

Conclusion: The students' preferences for radiology as a future specialty choice were influenced by their misperceptions of the potential impact of AI on the discipline. Students' interest in radiology and prior exposure to AI helped them grasp AI and eliminate the hype around it.

Keywords: Artificial intelligence, Radiology, Medical imaging, Medical education, Undergraduate, Medical students.

Graphical Abstract

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DOI https://dx.doi.org/10.2174/1573405618666220907111422	Print ISSN 1573-4056
Publisher Name Bentham Science Publisher	Online ISSN 1875-6603

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Medical Students’ Perspectives on Artificial Intelligence in Radiology: The Current Understanding and Impact on Radiology as a Future Specialty Choice

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