Sit Cherry, Srinivasan Rohit, Amlani Ashik, Muthuswamy Keerthini, Azam Aishah, Monzon Leo, Poon Daniel Stephen
Department of Radiology, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Department of Interventional Radiology, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Insights Imaging. 2020 Feb 5;11(1):14. doi: 10.1186/s13244-019-0830-7.
To explore the attitudes of United Kingdom (UK) medical students regarding artificial intelligence (AI), their understanding, and career intention towards radiology. We also examine the state of education relating to AI amongst this cohort.
UK medical students were invited to complete an anonymous electronic survey consisting of Likert and dichotomous questions.
Four hundred eighty-four responses were received from 19 UK medical schools. Eighty-eight percent of students believed that AI will play an important role in healthcare, and 49% reported they were less likely to consider a career in radiology due to AI. Eighty-nine percent of students believed that teaching in AI would be beneficial for their careers, and 78% agreed that students should receive training in AI as part of their medical degree. Only 45 students received any teaching on AI; none of the students received such teaching as part of their compulsory curriculum. Statistically, students that did receive teaching in AI were more likely to consider radiology (p = 0.01) and rated more positively to the questions relating to the perceived competence in the post-graduation use of AI (p = 0.01-0.04); despite this, a large proportion of students in the taught group reported a lack of confidence and understanding required for the critical use of healthcare AI tools.
UK medical students understand the importance of AI and are keen to engage. Medical school training on AI should be expanded and improved. Realistic use cases and limitations of AI must be presented to students so they will not feel discouraged from pursuing radiology.
探讨英国医学生对人工智能（AI）的态度、他们对放射学的理解以及职业意向。我们还研究了这一群体中与人工智能相关的教育状况。
邀请英国医学生完成一项由李克特量表和二分法问题组成的匿名电子调查。
从英国19所医学院收到了484份回复。88%的学生认为人工智能将在医疗保健中发挥重要作用，49%的学生表示由于人工智能，他们不太可能考虑从事放射学职业。89%的学生认为人工智能教学对他们的职业有益，78%的学生同意学生应该在医学学位课程中接受人工智能培训。只有45名学生接受过任何关于人工智能的教学；没有学生将此类教学作为必修课程的一部分。从统计学角度来看，接受过人工智能教学的学生更有可能考虑从事放射学（p = 0.01），并且对与毕业后使用人工智能的感知能力相关问题的评分更高（p = 0.01 - 0.04）；尽管如此，接受教学组中的很大一部分学生表示缺乏对医疗保健人工智能工具进行批判性使用所需的信心和理解。
英国医学生理解人工智能的重要性并渴望参与其中。医学院校关于人工智能的培训应予以扩展和改进。必须向学生展示人工智能的实际应用案例和局限性，以免他们在考虑从事放射学职业时感到气馁。
