在人工智能时代的医学教育和医生培训
Yueyuan Xu1, Zehua Jiang1,2, Daniel Shu Wei Ting3,4,5
1Tsinghua Medicine, School of Medicine, Tsinghua University, Beijing, China.
Singapore medical journal
|March 25, 2024
概括
生成型人工智能 (AI) 将改变医学教育和医生培训. 新的AI辅助和AI集成模型为所有医疗保健专业人员承诺更容易获得,更高质量,更互联的学习.
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
- 医生培训 医生培训 医生培训
背景情况:
- 目前的医学教育面临的挑战是教师数量有限,知识统一以及传统的线性学习.
- 生成型人工智能 (AI) 和人工智能驱动的聊天机器人的出现需要对医疗培训范式进行重新评估.
- 现有的教育模式很难跟上快速扩大的医学知识.
研究的目的:
- 探索人工智能对医学教育,住院培训和医师继续教育的潜在影响.
- 引入新的"人工智能辅助"和"人工智能集成"教育框架.
- 根据专业水平,为医生定义差异化的学习途径.
主要方法:
- 对当前医学教育局限性的基于视角的分析.
- 人工智能辅助和人工智能集成学习范式的概念化.
- 对不同医生角色 (一般,临床医生-科学家,临床医生-计算机科学家) 的知识要求的划分.
主要成果:
- 人工智能为医学教育中的教师,统一性和知识获取方面的局限性提供了潜在的解决方案.
- "人工智能辅助"和"人工智能集成"模型可以促进通用,可访问,高质量和相互连接的医学学习.
- 人工智能可以促进量身定制的教育途径,区分基本,专业和掌握水平的知识.
结论:
- 人工智能有望大大重塑医学教育和实习生培训教学.
- 由人工智能驱动的教育方法可以提高医学学习的质量,可访问性和相互联系性.
- 在医疗培训中整合人工智能对于为医生准备未来的医疗保健至关重要.
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