[聊天机器人在本科和研究生医学教育中的应用:具有变革潜力的新兴工具]
Martín Hunter1,2, Alfonso Fernández Pazos3, Federico Pedernera3
1Facultad de Medicina, Universidad de Buenos Aires, Argentina.
Medicina
|February 5, 2026
概括
人工智能聊天机器人正在通过模拟患者和提供个性化的反来彻底改变医学教育. 这项技术增强了各级学生的临床技能和学习能力.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 人工智能 (AI) 越来越多地融入医疗培训中.
- 由大型语言模型 (LLM) 驱动的聊天机器人为医学教育提供了可访问的工具.
- 这些工具可以模拟临床场景,个性化反,并支持自主学习.
研究的目的:
- 检查将AI聊天机器人整合到医学教育中的教学价值和挑战.
- 在学术和临床环境中描述聊天机器人的原始实现.
- 为评估人工智能在医疗培训中的影响提出研究议程.
主要方法:
- 叙事文学评论. 叙事文学评论. 叙事文学评论. 叙事文学评论.
- 三个原始聊天机器人实现的描述:虚拟患者模拟,呼吸系统生理学助理和重症监护药物定位决策支持.
- 教育中人工智能工具的定性和定量评估框架.
主要成果:
- 聊天机器人展示了提高面试,沟通和生理理解的潜力.
- 人工智能工具可以协助复杂的决策过程,例如重症监护中的药物定位.
- 最初的实施表明,个性化学习体验具有前途.
结论:
- 人工智能聊天机器人为本科和研究生医学培训提供了重要的教学价值.
- 整合的挑战包括道德考虑,数据隐私和教师培训.
- 需要进一步的研究,以严格评估对临床推理,动机和教育质量的影响.
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