人工智能在医学教育中的应用:一个元民族学综合
Wei Li1, Hai-Yan Shi2, Xiao-Ling Chen3
1School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, China.
Medical teacher
|October 31, 2024
概括
人工智能 (AI) 正在通过提供新的教学方法和整合策略来改变医学教育. 解决伦理考虑和挑战是最大限度地利用人工智能的关键.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 健康 专业 教育 卫生 专业 教育
背景情况:
- 人工智能 (AI) 正在越来越多地影响医学教育.
- 对于教育工作者来说,了解人工智能的好处,挑战和伦理影响至关重要.
- 要将人工智能整合到医疗培训中,需要有效的实施指导.
研究的目的:
- 探索人工智能 (AI) 在医学教育中的当前应用.
- 确定AI在医学培训中的趋势,好处,伦理考虑和整合策略.
主要方法:
- 在主要的学术数据库 (PsycINFO,CINAHL,Scopus,PubMed,Web of Science) 进行系统的文献搜索.
- 使用关键评估技能计划 (CASP) 确定研究的质量评估.
- 主题综合分析和分类来自21项选定的研究的发现.
主要成果:
- 出现了四个主要主题:当前的AI趋势,AI在教学中的变革力量,AI的伦理景观和AI在课程中的整合.
- 人工智能应用虽然还没有得到广泛应用,但对提高医学教育有很大的前景.
- 确定的挑战包括隐私,责任和维护人文关怀.
结论:
- 未来的努力应优先考虑针对AI整合的有针对性的课程开发,以提高教育质量.
- 人工智能在医学教育中的战略实施需要仔细考虑道德因素.
- 人工智能对推进医学指导和课程设计具有变革性的潜力.
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