探索医学学生的人工智能准备:对全球调查的分析
Jason Luong1, Chih-Chen Tzang2, Sean McWatt3
1Columbia University College of Dental Medicine, New York, NY USA.
Medical science educator
|March 27, 2025
概括
当人工智能 (AI) 整合到课程和学习习惯中时,医学学生表现出更多的AI准备. 在医学培训中早期采用人工智能对于为学生准备未来的医疗保健环境至关重要.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 的整合在包括医疗教育在内的各个领域正在迅速增加.
- 在学术环境中评估学生对人工智能的准备对于有效的课程开发至关重要.
研究的目的:
- 评估医学学生对不断发展的人工智能领域的准备程度.
- 调查人工智能在医学教育中的整合与学生准备程度之间的关系.
主要方法:
- 在国际合作与交流计划 (ICEP) 的223名参与者进行了在线调查.
- 收集的数据包括人口统计数据,学术环境中的AI利用情况,以及使用医学学生医疗人工智能准备度表 (MAIRS-MS) 感知到的AI准备程度.
主要成果:
- 41.82%的参与者同意或强烈同意人工智能教育应该成为医学培训的一部分.
- 人工智能准备与人工智能课程频率 (r=0.217,p=0.009),人工智能研究使用 (r=0.246,p=0.003) 和对人工智能集成的协议 (r=0.594,p<0.001) 有积极的相关性.
结论:
- 调查结果为教育工作者提供了关于将人工智能纳入医学课程的见解.
- 加强人工智能教育可能会提高学生对人工智能驱动的医疗保健的准备和准备.
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