A survey on the current use and ethical awareness of artificial intelligence among medical trainees

Chen Penglai; Gu Guoyu

doi:10.3760/cma.j.cn116021-20260205-02280

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A survey on the current use and ethical awareness of artificial intelligence among medical trainees

Digital Intelligence MedicalEducation | 更新时间：2026-06-17

- A survey on the current use and ethical awareness of artificial intelligence among medical trainees
- Chinese Journal of Medical Education Research Vol. 25, Issue 6, Pages: 657-663(2026)
- 作者机构：
  
  1.浙江大学医学院附属第一医院教学部，杭州 310003
  2.浙江大学医学院附属第一医院党委组织部，杭州 310003
- 作者简介：
  
  Gu Guoyu, Email: zyggy@zju.edu.cn
- 基金信息：
  
  Zhejiang Provincial Undergraduate Teaching Reform Project 2025(JGCG2025034)
- DOI：10.3760/cma.j.cn116021-20260205-02280
  CLC： R-052
- Received：05 February 2026，
  
  Published：20 June 2026
- 稿件说明：
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陈蓬来, 顾国煜. 医学教学对象人工智能使用现状及伦理认知调查研究[J]. 中华医学教育探索杂志, 2026, 25(6): 657-663.

Chen Penglai, Gu Guoyu. A survey on the current use and ethical awareness of artificial intelligence among medical trainees[J]. Chinese Journal of Medical Education Research, 2026, 25(6): 657-663.
陈蓬来, 顾国煜. 医学教学对象人工智能使用现状及伦理认知调查研究[J]. 中华医学教育探索杂志, 2026, 25(6): 657-663. DOI： 10.3760/cma.j.cn116021-20260205-02280.

Chen Penglai, Gu Guoyu. A survey on the current use and ethical awareness of artificial intelligence among medical trainees[J]. Chinese Journal of Medical Education Research, 2026, 25(6): 657-663. DOI： 10.3760/cma.j.cn116021-20260205-02280.

摘要

目的

探讨临床阶段教学对象对在医学教育中应用人工智能的伦理（AI ethics in medical education，AIEME）认知水平、核心挑战与需求偏好，为课程设计提供依据。

方法

2026年1月，采用整群抽样法选取浙江大学医学院附属第一医院的教学对象作为研究对象，对自愿参与的304名教学对象开展横断面调查。采用SPSS 20.0软件进行数据处理，运用Mann-Whitney

检验和Kruskal-Wallis

检验，探讨不同性别与不同身份类别的教学对象在AI使用频次和AI伦理认知方面的分布差异；采用Cochran’s

检验探讨同一类教学对象在AIEME课程形式及保障措施选择偏好上的差

异。

结果

98.68%（300/304）的教学对象使用过AI工具，其中研究生使用比例最高；大部分教学对象对AIEME有基础认知，不同性别、身份类别的教学对象在AI使用挑战认知与伦理培训需求上存在部分差异；75.33%（229/304）的教学对象认为有必要开设AIEME相关课程，线上课程（57.89%，176/304）是首选形式，案例讨论（46.38%，141/304）次之，完善AI安全管理制度（76.64%，233/304）是最急需的保障措施。

结论

需结合教学对象需求特征，构建数字课程与案例讨论相结合的分层AI医学教育体系，完善监管机制，推动AI技术在医学教育领域规范应用。

Abstract

Objective

To explore the awareness levels

core challenges

and demand preferences of clinical medical trainees regarding artificial intelligence ethics in medical education (AIEME)

and provide a basis for curriculum design.

Methods

In January 2026

cluster sampling was adopted to select medical trainees from The First Affiliated Hospital

Zhejiang University School of Medicine as the subjects. A cross-sectional survey was conducted among 304 medical trainees who participated voluntarily. Data processing was performed using SPSS 20.0 software. The Mann-Whitney

test and Kruskal-Wallis

test were adopted to examine the differences in the distribution of AI use frequency and AI ethics awareness among medical trainees with different genders and professional identities. Cochran's

test was used to explore the differences in preferences for AIEME course formats and supporting measures within each category of medical trainees.

Results

A total of 98.68% (300/304) of medical trainees had used AI tools

with postgraduates having the highest usage proportion. Most trainees had a basic understanding of AIEME. Some differences were observed in perceived challenges of AI use and ethical training needs among medical trainees with different genders and professional identities. Overall

75.33% (229/304) of medical trainees believed it was necessary to offer AIEME-related courses. Online courses (57.89%

176/304) were the preferred format

followed by case discussions (46.38%

141/304). Improving AI safety management systems (76.64%

233/304) was the most urgent supporting measure.

Conclusions

It is necessary to construct a hierarchical AI medical education system combining digital courses and case discussions based on the demand characteristics of medical trainees

improve the supervision mechanism

and promote the standardized application of AI technology in the field of medical education.

关键词

Keywords

references

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