新医科背景下医学生对人工智能课程需求的调查研究

An Investigation on Needs for the Artificial Intelligence Courses in Medical Undergraduates Under the Background of New Medicine

目的:了解新医科背景下医学本科生对人工智能(artificial intelligence,AI)课程的需求,为开设适用于普通高等医学院校的AI课程提供参考。方法:根据教育部新医科建设要求和相关文献设计问卷,2023年10月至2023年11月,采用问卷星对105名安徽医科大学2020—2023级在读医学本科生展开横断面调查,调查内容包括研究对象的基本情况、对AI技术的认知、编程基础、AI课程的学习意愿和AI课程开设形式等,共收集有效问卷103份。结果:67.96%(70/103)的学生认为“AI+医疗”将对个人未来职业发展产生影响。为了应对AI对传统医疗模式的影响,86.41%(89/103)的学生认为需要了解和学习AI技术,利用AI技术辅助医疗。94.17%(97/103)的学生通过社交媒体、在线视频获取AI知识,66.02%(68/103)的学生对AI基础知识和医疗应用了解程度一般。50.49%(52/103)的学生有Python、Java等编程基础。对AI课程设置,67.96%(70/103)的学生认为只需要学习AI入门知识,90.29%(93/103)的学生对AI医疗领域应用感兴趣,46.60%(48/103)的学生希望以选修课形式开展AI教学。在对“AI+医疗”是否会对个人未来职业发展产生影响、AI技术了解程度、AI知识的学习意愿和AI课程开设形式方面,临床医学专业和其他医学专业学生之间的差异无统计学意义(χ^(2)值分别为3.401、1.825、5.418和3.977,P值均大于0.05)。结论:医学本科生了解和学习AI知识的意愿较强,但编程基础相对薄弱,倾向采用选修课形式开展AI课程。

Objective:This study aimed to investigate the needs for the artificial intelligence(AI)courses in medi⁃cal undergraduates under the background of new medicine.The finding will serve to inform the designing of AI courses suitable for general medical colleges.Method:From October to November in 2023,a cross-sectional sur⁃vey was conducted among 105 medical undergraduates from grade 2020 to 2023 in Anhui Medical University by using Questionnaire Star,according to relevant literature and government documents.A total of 103 valid ques⁃tionnaires were collected.Results:67.96%(70/103)of the students believed that“AI+healthcare”would have an impact on their future career.86.41%(89/103)of them thought that they needed AI knowledge used to assist healthcare.94.17%(97/103)of them got AI knowledge through social media and online videos,while 66.02%(68/103)of the students had poor knowledge about AI.There were 50.49%(52/103)of the students with programming skills.67.96%(70/103)of them needed to learn the more accessible knowledge of AI,90.29%(93/103)of them were interested in the medical cases about application of AI,and 46.6%(48/103)of them were inclined to accept AI medical education as elective courses.There was no significant difference between clinical medicine students and other medical students in terms of the impact of“AI+healthcare”on their career,the understanding of AI technology,the motivation to learn AI knowledge and the form of AI courses(χ^(2) values were 3.401,1.825,5.418 and 3.977 respectively,and all P values were greater than 0.05).Conclusion:Medical undergraduates were inter⁃ested in learning AI knowledge,with poor programming skills.Elective courses were preferred to recommend as main form in medical AI education.