期刊
CLINICAL IMAGING
卷 81, 期 -, 页码 67-71出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.clinimag.2021.09.018
关键词
Artificial intelligence; Medical education; Radiology; Career choice
The study demonstrates that AI significantly reduces the preference of US medical students for choosing radiology as a career. Concerns about AI, perceived understanding of radiology, anticipation of decreased job opportunities, and exposure to AI all influence students' ranking of radiology as a career choice.
Purpose: International student surveys have shown significant anxiety about pursuing radiology as a career due to artificial intelligence (AI). For a counterpart study in the US, we examined the impact of AI on US medical students' choice of radiology as a career, and how such impact is influenced by students' opinions on and exposures to AI and radiology. Methods: Students across 32 US medical schools participated in an anonymous online survey. The respondents' radiology ranking with and without AI were compared. Among those considering radiology within their top 3 choices, change in radiology ranking due to AI was statistically examined for association with baseline characteristics, subjective opinions, and prior exposures. Results: AI significantly lowered students' preference for ranking radiology (P < .001). One-sixth of students who would have chosen radiology as the first choice did not do so because of AI, and approximately half of those considering radiology within their top 3 choices remained concerned about AI. Ranking radiology lower due to AI was associated with greater concerns about AI (P < .001), less perceived understanding of radiology (P = .02), predicting a decrease in job opportunities (P < .001), and exposure to AI through medical students/family (P = .03) as well as through radiology attendings and residents (P = .03). Education on AI during radiology rotations, followed by pre-clinical lectures, was the most preferred way to learn about AI. Conclusion: AI has a significantly negative impact on US medical students' choice of radiology as a career, a phenomenon influenced by both individual concerns and exposure to AI from the medical community.
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