评估沙特阿拉伯医学的人工智能对学生兴趣和教育之间的脱节
Abeer F Almarzouki1, Alwaleed Alem2, Faris Shrourou2
1Clinical Physiology Department, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia. afmalmarzouki@kau.edu.sa.
BMC medical education
|January 29, 2025
概括
医学学生对人工智能 (AI) 非常感兴趣,但缺乏正规教育. 课程需要更新,以整合人工智能素养,用于未来的临床实践.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 临床实践适应 临床实践适应
背景情况:
- 医学教育落后于人工智能 (AI) 的快速发展.
- 关于人工智能为临床实践培训人员的准备以及它对职业选择的影响存在不确定性.
- 评估学生兴趣和人工智能知识之间的差距对于课程开发至关重要.
研究的目的:
- 调查医学学生对人工智能在医疗保健中的作用的知识,接触和兴趣.
- 了解学生对人工智能对医学专业和职业偏好的影响的看法.
主要方法:
- 对354名医学学生进行调查.
- 评估对医疗保健中的AI的知识,接触和兴趣.
- 检查预期的人工智能对专业和职业选择的影响.
主要成果:
- 65%的学生对医学的AI感兴趣,但只有23%的学生接受了正式的AI教育.
- 大多数学生依赖非正式来源;很少有人理解AI概念或引用临床AI研究.
- 接触到更正式的人工智能课程的学生表现出更高的怀疑和更少的学习热情.
- 放射学和病理学被认为是受影响最大的;人工智能没有影响整体专业选择.
结论:
- 医学院的正式人工智能教育是不够的,尽管学生的热情.
- 医疗课程需要加强以培养基于证据的AI素养.
- 结构化的AI教育对于学生掌握AI的临床应用至关重要.
关键词:
在这里,我们可以看到AIAIAI.人工智能的人工智能是人工智能.临床实践课程 临床实践课程医疗保健 医疗保健 医疗保健 医疗保健医学教育 医学教育病理学 病理学 病理学放射学 放射学是指放射学专业的选择 专业的选择更多相关视频
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