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创伤麻醉教育中的大型语言模型

David Corpman¹, Elodie Lang², Tyler J Law²

¹Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, Washington.

Current opinion in anaesthesiology

|February 26, 2026

概括

大型语言模型 (LLM) 显示出增强临床教育的前景,特别是在创伤麻醉中. 需要进一步评估,以整合LLM增强的课程和工具,以改善学习和减少教育工作者的负担.

科学领域:

医学教育医学教育
人工智能在医学中的应用
麻醉学麻醉学

背景情况:

临床医学培训越来越多地采用大型语言模型 (LLM).
通过LLM增强的教育方法为学习和教育工作者的工作量提供了潜在的好处.
创伤麻醉教育目前缺乏细粒度的课程,可以适应个体学习者的需求.

研究的目的:

审查LLM基础知识及其在临床教育中的应用.
探索LLMs在创伤麻醉教育中的整合.
评估LLMs在提高学习和减少教育工作者负担方面的潜力.

主要方法:

对LLM基础和医学教育中的应用现有文献的审查.
分析当前的创伤麻醉课程和学习目标.
对创伤麻醉教育的潜在LLM整合策略的讨论.

主要成果:

传统的创伤麻醉课程往往没有足够的细粒度,以满足各种学习者的需求.
在新的教育方法中,LLM的能力正在被利用,但它们在创伤麻醉中的应用被低估了.
LLM具有个性化学习和提高教育效率的潜力.

结论:

通过LLMs增强创伤麻醉教育是一个有前途的途径.
将LLM整合到课程和评估工具中可以完善最佳实践.
需要进一步的研究来评估学习者表现,满意度和教育工作者负担与LLM整合.

关键词:

麻醉是一种麻醉.教育,大型语言模型创伤的创伤创伤的创伤.

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