Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Case Studies01:22

Case Studies

11.3K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
11.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same authorSame journal

Education Research: Case-Based and Near-Peer Teaching on Functional Neurologic Disorder in the Neurology Clerkship: A Cross-Site Comparative Pilot Study.

Neurology. Education·2026
Same author

From breadth to depth in clinical artificial intelligence evaluation.

Nature biomedical engineering·2026
Same author

Education Research: Moving Beyond "Outstanding": Neurology Program Directors' Perspectives on the MSPE Clerkship Summaries.

Neurology. Education·2026
Same author

A new first line choice? Has clopidogrel superseded aspirin for secondary prevention following selected minor ischaemic strokes?

Internal medicine journal·2026
Same author

Large language model prompt engineering for medical education: A practical guide for the Australian and New Zealand College of Anaesthetists Final Examination.

Anaesthesia and intensive care·2026
Same author

The relationship between time to urgent or emergency pacemaker implantation and entry into residential aged care or death in older adults.

Aging clinical and experimental research·2026

相关实验视频

Updated: May 5, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

6.1K

教育研究:从大型语言模型的教育案例报告中创建在线交互式基于案例的学习体验:可行性研究

Christina Gao1, Galina Gheihman2,3, Tamara Kaplan2,3

  • 1Department of Medicine, Adelaide Medical School, Adelaide, Australia.

Neurology. Education
|September 26, 2025
PubMed
概括

大型语言模型 (LLM) 可以将神经学病例报告转换为交互式在线学习工具. 这种人工智能驱动的方法显示了通过基于案例的学习来增强医学教育的可行性.

更多相关视频

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.7K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.3K

相关实验视频

Last Updated: May 5, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

6.1K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.7K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.3K

科学领域:

  • 医疗教育 技术 技术 医学教育
  • 人工智能在医学中的应用

背景情况:

  • 病例报告对于医学文献和教育至关重要.
  • 人工智能 (AI) 正在改变医学教育的交付.
  • 大型语言模型 (LLM) 提供了增强基于案例的学习的潜力.

研究的目的:

  • 评估使用LLM将神经病例报告转换为交互式在线格式的可行性.
  • 通过人工智能驱动的教育工具促进基于案例的学习.

主要方法:

  • 三个神经病例报告被转换成"剧本"使用LLM (克劳德3.5小说).
  • 通过使用另一种LLM (GPT-4o) 实现了交互式在线案例交付.
  • 神经学研究员通过问答参与了案件,模拟患者评估,并进行专家审查.

主要成果:

  • 该LLM产生了98.1%的适当反应 (206/210).
  • 在剧本转换过程中出现了轻微的遗漏 (4/210),但并没有妨碍诊断.
  • 在12.4%的回答中产生了医学上可信的附加内容.

结论:

  • 使用LLM将神经病例报告转换为交互式问答格式是可行的.
  • 关于LLM的性能考虑包括它们的非决定性性质和频繁的更新.
  • 需要进一步的研究来评估这种人工智能创新的教育影响.