Survey and reflections on resident perceptions regarding the clinical applications of AI

Zhou Qing; Tang Dong; Qi Jiajun; Weng Xiaohong; Li Lingyun; Huang Xiaoqin; Li Min; Ji Yunlan; Wang Yunyun; Zhu Yuqiu

doi:10.3760/cma.j.cn116021-20250325-02287

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Survey and reflections on resident perceptions regarding the clinical applications of AI

Digital Intelligence MedicalEducation | 更新时间：2026-07-27

- Survey and reflections on resident perceptions regarding the clinical applications of AI
- Chinese Journal of Medical Education Research Vol. 25, Issue 7, Pages: 800-805(2026)
- 作者机构：
  
  1.南通大学附属医院教育培训处，南通 226001
  2.苏州大学附属第一医院教育培训处，苏州 215000
  3.南京医科大学附属苏州医院教育处，苏州 215000
  4.苏州大学附属第二医院教育培训处，苏州 215000
  5.南通大学附属第二医院教育培训处，南通 226000
  6.南通大学附属南通第三医院科教处，南通 226000
- 作者简介：
  
  Tang Dong, Email: 66236324@qq.com
- 基金信息：
  
  "Qinglan Project" for Universities in Jiangsu Province
- DOI：10.3760/cma.j.cn116021-20250325-02287
  CLC： R-0;R-4
- Received：25 March 2025，
  
  Online First：27 July 2026，
  
  Published：20 July 2026
- 稿件说明：
移动端阅览
周庆, 唐东, 祁加俊, 等. 住院医师对AI临床应用的认知调查分析与思考[J]. 中华医学教育探索杂志, 2026, 25(7): 800-805.

Zhou Qing, Tang Dong, Qi Jiajun, et al. Survey and reflections on resident perceptions regarding the clinical applications of AI[J]. Chinese Journal of Medical Education Research, 2026, 25(7): 800-805.
周庆, 唐东, 祁加俊, 等. 住院医师对AI临床应用的认知调查分析与思考[J]. 中华医学教育探索杂志, 2026, 25(7): 800-805. DOI： 10.3760/cma.j.cn116021-20250325-02287.

Zhou Qing, Tang Dong, Qi Jiajun, et al. Survey and reflections on resident perceptions regarding the clinical applications of AI[J]. Chinese Journal of Medical Education Research, 2026, 25(7): 800-805. DOI： 10.3760/cma.j.cn116021-20250325-02287.

摘要

目的

对住院医师规范化培训学员进行AI临床应用认知调查，为培养AI时代住院医师胜任力提供借鉴。

方法

自制调查问卷，采用问卷星形式，从AI的认知与态度、AI临床应用的挑战与担忧、AI时代医学教育改革与胜任力培养需求等维度对住院医师规范化培训学员进行问卷调查。

结果

在AI认知方面，468人（37.35%）能够了解常见AI辅助决策工具的应用；389人（31.05%）使用过诸如影像识别系统、电子病历分析辅助决策系统等AI辅助工具，653人（52.11%）使用过ChatGPT、DeepSeek等AI工具，其中男性住院医师对AI的认知高于女性住院医师（

0.05），且南通、苏州两地存在地区差异（

0.001）。在AI对传统临床能力影响的认知上，80%以

上的住院医师认为AI对传统临床操作技能培养无变化或有提升，但男性住院医师在此方面的认知高于女性住院医师（

0.05），而南通与苏州两地之间住院医师此方面认知差异无统计学意义（

0.05）。1 038人（82.84%）认为AI可以替代重复性劳动、提高工作效率，957人（76.38%）认为可以辅助临床决策、减少误诊率；889人（70.95%）担忧数据隐私与安全问题，795人（63.45%）担心AI应用会削弱临床思维能力培养。954人（76.14%）希望增加AI基础理论与医疗应用案例培训。

结论

AI将对医疗行业和医学人才培养模式产生深刻影响，需要在住院医师规范化培训过程中，加强住院医师AI认知教育和应用能力培训，以及AI应用伦理责任培养，为培养AI时代医学人才岗位胜任力奠定坚实基础。

Abstract

Objective

To investigate the perceptions of residents undergoing standardized residency training regarding the clinical application of artificial intelligence (AI) and provide insights for cultivating resident competency in the AI era.

Methods

A self-designed questionnaire was administered via the Questionnaire Star platform

covering dimensions such as awareness and attitudes toward AI

challenges and concerns regarding the clinical application of AI

and demands for medical education reform and competency cultivation in the AI era.

Results

Regarding AI awareness

468(37.35%) demonstrated understanding of common AI-assisted decision-making tools; 389(31.05%) had used AI-assisted tools such as AI-assisted medical imaging recognition system and AI-assisted decision-making system based on electronic medical record analysis; 653(52.11%) had used AI tools like ChatGPT and DeepSeek. Male residents showed significantly higher AI awareness than female counterparts (

0.05)

and significant regional differences were observed between Nantong and Suzhou (

0.001). Concerning perceptions of AI impact on traditional clinical skills

over 80% of residents believed that AI had either no impact or a positive impact on the cultivation of traditional clinical operation skills. Male residents held more positive views in this aspect compared to females (

0.05)

while no regional differences were observed

between Nantong and Suzhou (

0.05). Among the residents

1 038(82.84%) believed that AI could replace repetitive tasks and improve work efficiency

957(76.38%) felt it could support clinical decision-making and reduce diagnostic errors

889(70.95%) expressed concerns about data privacy and security

795(63.45%) worried that AI application might compromise the cultivation of clinical thinking ability

and 954(76.14%) expressed interest in receiving training on AI fundamental theory and cases of its medical applications.

Conclusions

AI will profoundly impact the healthcare sector and the training models for medical professionals. It is essential to strengthen the education on AI awareness

the training of AI application skills

and the cultivation of ethical responsibility of AI application during standardized residency training

and thus lay a solid foundational for cultivating the position competency of medical professionals in the AI era.

关键词

Keywords

references

李菊萍 . ChatGPT驱动的医疗智能决策：伦理、法律与规制 [J ] . 中国医学伦理学， 2025 ， 38 （ 2 ）： 139 - 149 . DOI: 10.12026/j.issn.1001-8565.2025.02.01 http://dx.doi.org/10.12026/j.issn.1001-8565.2025.02.01 .

徐新辰，夏文芳 . 基于医生视野的ChatGPT在临床诊疗中的应用与问题 [J ] . 医学与哲学， 2024 ， 45 （ 14 ）： 6 - 9 . DOI: 10.12014/j.issn.1002-0772.2024.14.02 http://dx.doi.org/10.12014/j.issn.1002-0772.2024.14.02 .

钱亚芳，汪振量 . 智能医疗责任主体及归责原则法律衡平探讨 [J ] . 医学与哲学， 2025 ， 46 （ 1 ）： 21 - 24 . DOI: 10.12014/j.issn.1002-0772.2025.01.04 http://dx.doi.org/10.12014/j.issn.1002-0772.2025.01.04 .

黄明芳，侯青涵，张韦 . 生成式人工智能在医学教育领域的应用现状与未来趋势 [J ] . 医学与社会， 2025 ， 38 （ 1 ）： 29 - 34， 47 . DOI: 10.13723/j.yxysh.2025.01.005 http://dx.doi.org/10.13723/j.yxysh.2025.01.005 .

侯应龙，朱明琪，宋启元，等 . ChatGPT之于临床医生是助手而非替手 [J ] . 医学与哲学， 2024 ， 45 （ 14 ）： 1 - 5 . DOI: 10.12014/j.issn.1002-0772.2024.14.01 http://dx.doi.org/10.12014/j.issn.1002-0772.2024.14.01 .

巫灵爱，钱国玲 . AI机器人在医学教育中的应用优势、伦理困境及其应对 [J ] . 中国医学伦理学， 2025 ， 38 （ 2 ）： 187 - 194 . DOI: 10.12026/j.issn.1001-8565.2025.02.07 http://dx.doi.org/10.12026/j.issn.1001-8565.2025.02.07 .

邹文卿，高雪晗 . 智能医疗对构建新型医患关系的影响及对策研究 [J ] . 医学与哲学， 2025 ， 46 （ 1 ）： 25 - 29 . DOI: 10.12014/j.issn.1002-0772.2025.01.05 http://dx.doi.org/10.12014/j.issn.1002-0772.2025.01.05 .

崔芳芳，李中琳，何贤英，等 . 医疗人工智能临床应用的伦理思考 [J ] . 中国医学伦理学， 2025 ， 38 （ 2 ）： 159 - 165 . DOI: 10.12026/j.issn.1001-8565.2025.02.03 http://dx.doi.org/10.12026/j.issn.1001-8565.2025.02.03 .

关旭，刘骞，王锡山 . 人工智能在肿瘤外科医学专科教育中的现状与应用研究 [J ] . 中华医学教育探索杂志， 2024 ， 23 （ 10 ）： 1337 - 1342 . DOI: 10.3760/cma.j.cn116021-20240511-01869 http://dx.doi.org/10.3760/cma.j.cn116021-20240511-01869 .

江莉 . AI医疗之“术”与“道”：基于道家思想的伦理反思 [J ] . 中国医学伦理学， 2025 ， 38 （ 2 ）： 201 - 206 . DOI: 10.12026/j.issn.1001-8565.2025.02.09 http://dx.doi.org/10.12026/j.issn.1001-8565.2025.02.09 .

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