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作为第一个患者的生成人工智能:实践,反和信心
Thomas Thesen1,2, Wade N O'Brien3, Simon Stone4
1Department of Medical Education, Geisel School of Medicine at Dartmouth, Hanover, USA.
Medical science educator
|January 20, 2026
概括
生成型人工智能 (GenAI) 通过提供AI患者演员进行模拟面试来增强医学教育,提高学生的技能. 虽然有价值,但这些人工智能工具补充而不是取代临床培训中的人类互动.
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
- 临床技能培训 临床技能培训
背景情况:
- 医学教育面临教师短缺,限制了临床教师的获取.
- 在医疗培训中,生成人工智能 (GenAI) 的整合和学生接受度未得到充分探索.
- 基因人工智能 (GenAI) 在规模上提供个性化的学习机会.
研究的目的:
- 评估AI患者演员应用程序在第一年医学课程中的整合和学生接受度.
- 评估人工智能驱动的模拟访谈对学生临床推理和沟通技能的影响.
- 探索学生对GenAI作为教育辅助的看法.
主要方法:
- 在第一年医学课程中部署基于大型语言模型的AI患者演员应用程序.
- 学生们进行了模拟的临床采访,并立即反.
- 使用了学生评论和反调查的情绪分析.
主要成果:
- 学生们报告了AI患者演员应用程序的绝对积极的体验.
- 使用GenAI的舒适度随着重复参与而显著增加.
- 学生们欣赏了灵活性,低压环境和技能发展的实时反.
- 限制包括与人类互动相比,感知到缺乏真实性.
结论:
- 人工智能患者演员是早期临床培训中可以接受的教育辅助.
- 基因AI提供了即时的反,并增强了学生在学习中的自主性.
- 人工智能患者演员补充,但不能完全取代与人类演员和患者的互动.
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