相关实验视频

Updated: Jul 13, 2026

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

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

Published on: June 30, 2020

深入研究医学教育中大型语言模型的实际应用和陷:叙述审查

Rui Li¹, Tong Wu^2,3,4

¹Emergency Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.

Advances in medical education and practice

|April 24, 2025

概括

大型语言模型 (LLM) 正在通过帮助教育工作者和提高学生技能来改变医学教育. 本综述探讨了它们的实际用途,挑战和解决方案,以提高学习和患者安全.

科学领域:

医学教育医学教育
医疗保健中的人工智能
教育技术的教育技术

背景情况:

大型语言模型 (LLM) 越来越多地因其在包括教育在内的各个领域的潜力而得到认可.
医学教育面临着对创新的教学和学习策略的不断变化的需求.
像LLM这样的AI工具的整合为提高教育成果提供了新的途径.

研究的目的:

审查LLM在医疗教育中对教育工作者和学生的实际应用.
为提高教育和学术表现提供LLM有效性的具体例子.
识别LLM实施中的挑战,并提出优化解决方案.

主要方法:

在医学教育中对LLMs进行当前研究的文献综述.
分析实际使用案例和报告的好处.
讨论实施挑战和潜在的缓解策略.

主要成果:

在课程开发,材料生成和反方面,LLM协助教育工作者.
士课程提高学生的语言技能,写作和创造力.
确定的挑战包括数据隐私,准确性和道德考虑.

结论:

法学士课程为提高医学教育和学术成绩提供了巨大的潜力.
解决实施挑战对于成功的整合至关重要.
更广泛地采用LLM可以提高医学学习标准和患者安全.

关键词:

人工智能的人工智能是人工智能.自动化偏差是一种自动化偏差.教育者教育者教育者幻觉幻觉是一种幻觉.大型语言模型.医学教育医学教育

更多相关视频

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

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

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

Published on: December 6, 2024

相关概念视频

Introduction to Language of Pathophysiology l

Introduction to Language of Pathophysiology l

Pathophysiology investigates how biological mechanisms—typically starting at the cellular level—disrupt normal bodily functions. It bridges anatomy and physiology to explain the progression of disease. With this foundation, it is important to understand the following key terms used to describe disease processes: Diagnosis:The process of identifying a disease using clinical evaluation, including signs (objective evidence like rashes), symptoms (subjective experiences like pain), laboratory test...

Introduction to Language of Pathophysiology ll

Introduction to Language of Pathophysiology ll

This lesson explores key terms that describe how diseases progress, their outcomes, and their distribution in populations.Diagnostic tests identify diseases and monitor treatment. These include blood and urine tests, biopsies, imaging (X-ray, MRI), and detection of infectious agents.Remission is a reduction or disappearance of symptoms.Exacerbation refers to the worsening of symptoms, such as increased wheezing during an asthma attack.A precipitating factor triggers an acute episode, while a...