对临床医生和教育工作者来说,有效地与人工智能接触是前进的唯一途径
概括
生成型人工智能 (GAI) 为医学教育提供了重大机会. 临床医生-教育工作者应该主动参与这些快速发展的技术,以适应学习和实践环境.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 认知科学 认知科学
背景情况:
- 生成型人工智能 (GAI) 为医学教育带来了变革性的机遇和挑战.
- 在GAI的快速进步,特别是推理模型,超过了传统医疗机构的适应能力.
- 整合GAI需要在临床实践和学习范式上进行转变.
研究的目的:
- 解决医疗教育工作者迫切需要与生成人工智能接触的迫切需要.
- 为临床医生教育者提供实用策略,以采用和整合GAI到医学教育中.
- 在学习者,患者和教育社区中促进与GAI的积极参与.
主要方法:
- 本评论为临床医生教育者提出了一种主动的方法.
- 它强调了早期采用和积极参与GAI技术.
- 讨论了将GAI整合到教育实践中的战略.
主要成果:
- GAI的认知能力为医学教育提供了前所未有的机会.
- GAI发展的步伐超过了机构的适应.
- 鼓励个人临床医生教育者成为早期采用者.
结论:
- 临床医生教育者必须积极与GAI合作,以导航其对医学教育的影响.
- 积极采用和整合GAI对于未来的医学学习和实践至关重要.
- 与学习者,患者和社区的合作是GAI成功整合的关键.
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