人工智能在精神病学和心理学教育中的应用:范围审查
Julien Prégent1, Van-Han-Alex Chung2, Inès El Adib1
1Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.
JMIR medical education
|July 28, 2025
概括
人工智能 (AI) 正在通过提供新的学习和专业发展工具来改变心理健康教育. 解决伦理和技术挑战对于其有效地融入精神病学和心理学培训至关重要.
科学领域:
- * * 医学教育 医学教育
- * 精神病学和心理学
- * 医疗保健中的人工智能
背景情况:
- *人工智能 (AI) 越来越多地融入医疗保健,包括心理健康.
- *人工智能提供了增强临床推理,个性化学习和支持精神病学和心理学教育专业发展的机会.
- *目前对人工智能应用和心理健康教育中的挑战的理解有限.
研究的目的:
- * 识别和描述人工智能在精神病学和心理学中的教学和学习中的当前应用.
- * 记录报告的人工智能在心理健康教育环境中整合AI的促进者和障碍.
主要方法:
- *系统搜索6个电子数据库 (MEDLINE,PubMed,Embase,PsycINFO,EBM评论,谷歌学者) 在2024年10月之前.
- *遵守系统性审查和元分析的首选报告项目,扩展范围审查 (PRISMA-ScR) 准则.
- *包括在教育中使用人工智能工具的精神病学/心理学研究,详细介绍促进者或障碍;关于研究特征,人工智能应用,结果,促进者和障碍的数据提取;质量评估.
主要成果:
- *对10项研究的分析 (占6219个记录的0.2%) 揭示了AI应用的8个类别:临床决策支持,教育内容创建,治疗工具,行政援助,自然语言处理 (NLP),程序开发,学生援助和专业发展.
- *关键的促进因素包括人工智能工具的可用性,学习者的积极态度,数字基础设施和节省时间的功能.
- * 确定的障碍包括有限的AI培训,道德问题,缺乏数字素养,算法不透明性和不充分的课程整合;整体研究质量中等至高.
结论:
- *人工智能在精神病学和心理学中被用于各种教育功能,从临床培训到行政支持.
- *成功的AI整合取决于解决道德,技术和教学障碍,以提高学习成果.
- *未来的方向强调人工智能素养,教师发展,以及负责采用制度政策,需要跨学科的合作,以确保安全和公平的实施.
关键词:
人工智能的人工智能是人工智能.聊天机器人 聊天机器人临床决策支持 临床决策支持数字健康数字健康电子学习 (e-learning) 是一个电子学习系统.机器学习是机器学习.医学教育 医学教育心理健康培训 心理健康培训精神病学教育 精神病学教育心理学教育教育心理学教育更多相关视频
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