人工智能赋能神经系统体格检查教学的探索与效果研究

支楠; 姚小英; 郦忆; 潘元美; 王刚

doi:10.3760/cma.j.cn116021-20260403-02354

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人工智能赋能神经系统体格检查教学的探索与效果研究

数智医学教育 | 更新时间：2026-10-26

- 人工智能赋能神经系统体格检查教学的探索与效果研究
- Artificial intelligence-enhanced teaching of neurological physical examination: an exploratory study on its effectiveness
- 中华医学教育探索杂志 2026年25卷第10期页码：1197-1204
- 作者机构：
  
  1.上海交通大学医学院附属仁济医院神经内科，上海 200127
  2.上海交通大学医学院上海⁃渥太华联合医学院，上海 200127
- 作者简介：
  
  王刚，Email：wanggang@renji.com
- 基金信息：
  
  2022年度上海高校市级重点课程建设立项项目;2024年度上海交通大学医学院本科荣誉课程建设重点资助项目;2025年度上海-渥太华联合医学院第二轮全英语课程建设立项项目;2025年度上海交通大学医学院本科核心课程建设立项项目;2026年度上海交通大学医学院思想政治教育与人文社会科学研究课题立项项目
- DOI：10.3760/cma.j.cn116021-20260403-02354
  中图分类号： R-0;R-4;R741.049
- 收稿：2026-04-03，
  
  纸质出版：2026-10-20
- 稿件说明：
移动端阅览
支楠, 姚小英, 郦忆, 等. 人工智能赋能神经系统体格检查教学的探索与效果研究[J]. 中华医学教育探索杂志, 2026, 25(10): 1197-1204.

Zhi Nan, Yao Xiaoying, Li Yi, et al. Artificial intelligence-enhanced teaching of neurological physical examination: an exploratory study on its effectiveness[J]. Chinese Journal of Medical Education Research, 2026, 25(10): 1197-1204.
支楠, 姚小英, 郦忆, 等. 人工智能赋能神经系统体格检查教学的探索与效果研究[J]. 中华医学教育探索杂志, 2026, 25(10): 1197-1204. DOI： 10.3760/cma.j.cn116021-20260403-02354.

Zhi Nan, Yao Xiaoying, Li Yi, et al. Artificial intelligence-enhanced teaching of neurological physical examination: an exploratory study on its effectiveness[J]. Chinese Journal of Medical Education Research, 2026, 25(10): 1197-1204. DOI： 10.3760/cma.j.cn116021-20260403-02354.

摘要

目的

本研究构建了一种人工智能（artificial intelligence，AI）赋能的神经系统体格检查教学新模式，并在临床医学本科生教学中对其应用效果进行了评价。

方法

选择上海交通大学上海渥太华联合医学院2021级32名临床医学本科生为对照组，2022级35名临床医学本科生为试验组。对照组采用翻转课堂联合案例教学法（case-based learning，CBL），试验组采用包含AI辅助备课系统、人字形查体小程序、AI模拟考官的AI赋能新型教学模式。课程结束后，采用理论知识考核、客观结构化临床考试（objective structured clinical examination，OSCE）、教师多维观察评价、学生满意度问卷调查等方法对教学效果进行综合评价。研究数据采用SPSS 27.0软件进行统计分析。计量资料以均数±标准差表示，组间比较采用独立样本

检验。检验水准

=0.05。

结果

试验组理论知识考核成绩（88.43±9.67 vs. 80.31±9.67，

=0.001）和OSCE实操成绩（91.33±2.21 vs. 84.51±6.42，

0.001）均高于对照组。教师评价显示，试验组在整体表现、专业素养、临床思维、人文关怀4个方面的评分均高于对照组（均

0.01）。在学生满意度方面，试验组在激发学习兴趣、提高自学能力、加深知识理解等9个方面的评分也均高于对照组（

0.01）。

结论

AI赋能的新型教学模式可以有效提升医学生在神经系统体格检查学习中的理论掌握程度、操作规范性及临床思维能力，且学生接受度高、满意度高，为医学技能教学提供了一种具有一定推广前景的创新范式。

Abstract

Objective

To construct a new artificial intelligence (AI)-enhanced teaching model for neurological physical examination and to evaluate its application effect in the teaching of clinical medicine undergraduates.

Methods

Students from the Class of 2021 (control group

=32) and students from the Class of 2022 (experimental group

=35) of the Ottawa-Shanghai Joint School of Medicine

Shanghai Jiao Tong

University School of Medicine were selected. The control group had the flipped classroom model and was learning through case-based teaching. The experimental group was given the novel AI-enhanced teaching model

which consists of the AI-assisted lesson preparation system and the "stick figure examination mini-program" and "AI simulated examiner". After the course ended

a comprehensive evaluation of the teaching effect was conducted through methods such as theoretical knowledge assessment

objective structured clinical examination (OSCE)

multi-dimensional observation and evaluation by teachers

and student satisfaction questionnaire survey. SPSS 27.0 was used for the statistical analysis of the data. All measurement data were expressed as the mean plus or minus the standard deviation

and independent samples

-tests were used to compare groups. A significance level of

=0.05 was used.

Results

Both the theoretical knowledge assessment score and the OSCE score for the experimental group were higher than those for the control group (88.43±9.67 vs. 80.31±9.67

=0.001; 91.33±2.21 vs. 84.51±6.42

0.001). Teacher ratings were all higher in general performance

professional competence

clinical thinking

and humanistic concern in the experimental group compared with the control group (all

0.01). Student satisfaction scores in the experimental group were higher than those in the control group for 9 aspects

such as inspiring the interest in learning

improving self-study ability

and deepening knowledge understanding (

0.01).

Conclusions

The novel AI-enhanced teaching model can effectively improve medical students' grasp of the theory and operational standardization

as well as clinical thinking ability in the learning of neurological physical examination and has been widely accepted and praised. It provides a new way with certain popularization prospects for medical skill teaching.

关键词

Keywords

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