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人工智能和区域麻醉学教育课程开发:导航数字噪音
Kristopher M Schroeder1, Nabil Elkassabany2
1Anesthesiology, University of Wisconsin-Madison, Madison, Wisconsin, USA kmschro1@wisc.edu.
Regional anesthesia and pain medicine
|June 14, 2024
概括
人工智能 (AI) 正在通过提高患者安全和数据驱动的护理来改变医学,包括麻醉学. 人工智能还承诺通过为多样化的学习者开发个性化的课程来彻底改变医学教育.
科学领域:
- 麻醉学 麻醉学
- 医学教育 医学教育
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 显示出提高临床医学和患者护理的巨大潜力.
- 麻醉学虽然复杂,但将受到人工智能的影响,以提高安全性和数据驱动的决策.
- 医学中的AI应用包括风险评估,临床决策支持和图像解释.
研究的目的:
- 探索人工智能对临床医学,特别是麻醉学的变革性影响.
- 检查人工智能的潜力,特别是大型语言模型 (LLM),在医学教育课程开发中.
- 强调需要评估人工智能在教育中的作用,并确保其最佳实施.
主要方法:
- 审查AI在临床医学中的当前和潜在应用.
- 讨论各种学习者的医疗课程开发中的挑战.
- 探索LLMs作为创建个性化和有针对性的教育内容的工具.
主要成果:
- 人工智能有望增强麻醉学实践,提高安全性和数据驱动的护理.
- 法学士课程提供了一种有前途的方法,可以开发可适应和个性化的医学课程.
- 人工智能在教育中的部署和监控需要仔细考虑和评估.
结论:
- 人工智能将越来越多地影响麻醉学和临床医学.
- 人工智能,特别是LLMs,为解决医学教育中的挑战提供了一个新的机会.
- 进一步的研究和战略实施对于在临床实践和教育中利用人工智能至关重要.
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