Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: A National Survey Study
Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: A National Survey Study
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DOI：
10.1016/j.acra.2018.10.007
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发表时间：
2019-04-01
影响因子：
4.8
通讯作者：
Nicolaou, Savvas
中科院分区：
文献类型：
--
作者：
Gong, Bo;Nugent, James P.;Nicolaou, Savvas
原理和目标：人工智能（AI）有可能改变放射学的临床实践。本研究调查了加拿大医学生对人工智能对放射学影响的看法，以及它们对学生对放射学专业偏好的影响。材料和方法：2018年3月，向加拿大所有17所医学院的学生分发了一份匿名在线调查。结果：在322名受访者中，70名学生认为放射学是最佳专业选择，133名学生认为放射学是前三名。只有少数（29.3%）的受访者认为人工智能将在可预见的未来取代放射科医生，但大多数（67.7%）受访者认为人工智能将减少对放射科医生的需求。即使在第一选择的受访者中，48.6%的人认为人工智能在考虑放射学专业时会引起焦虑。此外，六分之一的受访者将放射学列为首选，因为对人工智能的焦虑而不会考虑放射学。研究表明，先前大量接触放射学和对AI理解的高度自信可降低焦虑水平。感兴趣的学生重视当地放射科医生，放射学会议和期刊的意见。学生们最感兴趣的是“专家意见AI”和“讨论AI在临床前放射学讲座”，以了解AI的影响。结论：焦虑相关的“位移”（而不是“更换”）的放射科医生的AI劝阻许多医学生考虑放射学专业。放射学界应该教育医学生关于人工智能的潜在影响，以确保放射学被视为一个可行的长期职业选择。
Rationale and Objectives: Artificial 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 Methods: In March 2018, an anonymous online survey was distributed to students at all 17 Canadian medical schools.Results: Among 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.Conclusion: Anxiety 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.