医学教育中的人工智能:变革潜力,当前应用和未来影响
Juan S Izquierdo-Condoy1, Marlon Arias-Intriago1, Laura Montero Corrales2
1One Health Research Group, Universidad de Las Américas, Via Nayon S/N, Quito, 170124, Ecuador, +593 995760693.
JMIR medical education
|February 17, 2026
概括
人工智能 (AI) 通过适应性学习和人工智能辅助工具增强医学教育. 负责任的整合需要解决道德问题,并确保公平获得更好的学习成果.
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
- 数字学习策略 数字学习策略
背景情况:
- 人工智能 (AI) 正在通过适应性学习,人工智能辅助评估和可扩展工具改变医学教育.
- 像自然语言处理,机器学习和生成的大型语言模型等技术提供了新的教学和学习支持.
- 整合人工智能带来了重大的伦理,教学和基础设施挑战.
研究的目的:
- 检查医疗教育当前的人工智能应用,好处和挑战.
- 为医疗培训中负责任和有效地整合人工智能提出战略.
- 为评估人工智能对医学教育的影响提供一个框架.
主要方法:
- 审查人工智能应用程序,包括聊天机器人,虚拟患者和智能辅导系统.
- 对AI工具进行评估的分析,例如自动分级和预测分析.
- 检查人工智能辅助的内容创建工具.
主要成果:
- 人工智能工具增强了个性化,沉浸式学习,并简化了内容创作.
- 人工智能通过自动分级和预测分析提供高效的评估方法.
- 担忧包括数据隐私,算法偏见,不平等的访问,以及对批判性思维的潜在影响.
结论:
- 人工智能为彻底改变医学教育提供了巨大的机会.
- 伦理,公平和教学健全的整合对于人工智能采用至关重要.
- 像FACETS这样的框架,机构治理和协作是成功实施AI的关键.
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