生成性人工智能在精神病学教育中的作用 - - 范围审查
Qin Yuan Lee1, Michelle Chen1, Chi Wei Ong1
1School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore, Singapore.
BMC medical education
|March 26, 2025
概括
生成性人工智能 (GenAI) 在精神医学教育中显示了学习和评估的潜力. 仔细管理GenAI的管理.
科学领域:
- 精神病学教育 精神病学教育
- 医疗技术 医疗技术 医学技术
- 人工智能在医学中的应用
背景情况:
- 越来越多的心理健康问题需要改善精神病学培训.
- 精神病学专注于沟通需要探索新的教育工具.
- 生成性人工智能 (GenAI) 是医学教育的一个有前途的技术.
研究的目的:
- 探索GenAI在精神医学教育中的潜在应用.
- 确定GenAI如何支持精神病学中的CanMEDS框架.
主要方法:
- 进行了范围审查.
- 在精神医学教育中搜索了关于GenAI的研究.
- 使用CanMEDS框架进行分析.
主要成果:
- 五项研究符合12,594篇论文的纳入标准.
- 在基于案例的学习,模拟,内容合成和评估中确定了GenAI的角色.
- 限制包括准确性,偏见,安全性和隐私问题.
结论:
- 基因人工智能可以增强精神病学教育,特别是医学生和初级保健医生.
- 解决准确性和偏见等局限性对于有效实施至关重要.
- 基因人工智能有潜力满足对心理健康专业人员日益增长的需求.
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