Application and prospect of artificial intelligence in the teaching of vascular surgery for overseas trainees

Hao Yue; Zhang Rongjie; Zhong Hua

doi:10.3760/cma.j.cn116021-20240511-01960

您当前的位置：

首页 >

文章列表页 >

Application and prospect of artificial intelligence in the teaching of vascular surgery for overseas trainees

Digital Intelligence MedicalEducation | 更新时间：2025-02-21

- Application and prospect of artificial intelligence in the teaching of vascular surgery for overseas trainees
- Chinese Journal of Medical Education Research Vol. 24, Issue 2, Pages: 155-159(2025)
- 作者机构：
  
  1.新加坡南洋理工大学教育学院，新加坡　637616
  2.陆军军医大学第一附属医院血管外科，重庆　400038
  3.陆军军医大学生物医学工程与医学影像系，重庆　400038
- 作者简介：
  
  Zhong Hua, Email: 2022558581@qq.com
- 基金信息：
  
  Chongqing Higher Education Teaching Reform Research Project(2022535);Education Reform Research Project of Army Medical University (Key Project)(2020A07)
- DOI：10.3760/cma.j.cn116021-20240511-01960
  CLC： R-05
- Received：11 May 2024，
  
  Published：20 February 2025
- 稿件说明：
移动端阅览
郝悦, 张荣杰, 钟华. 人工智能在外训学员血管外科教学中的应用与展望[J]. 中华医学教育探索杂志, 2025, 24(2): 155-159.

Hao Yue, Zhang Rongjie, Zhong Hua. Application and prospect of artificial intelligence in the teaching of vascular surgery for overseas trainees[J]. Chinese journal of medical education research, 2025, 24(2): 155-159.
郝悦, 张荣杰, 钟华. 人工智能在外训学员血管外科教学中的应用与展望[J]. 中华医学教育探索杂志, 2025, 24(2): 155-159. DOI： 10.3760/cma.j.cn116021-20240511-01960.

Hao Yue, Zhang Rongjie, Zhong Hua. Application and prospect of artificial intelligence in the teaching of vascular surgery for overseas trainees[J]. Chinese journal of medical education research, 2025, 24(2): 155-159. DOI： 10.3760/cma.j.cn116021-20240511-01960.

摘要

随着全球化进程的加速和国际医学交流的日益频繁，外训学员在我国医学教育体系中的地位愈发重要。本文探讨了人工智能技术在外训学员血管外科教学中的应用，包括其在理论教学、手术技能培训、病例分析与临床决策等方面的具体应用形式，分析了人工智能应用于外训教学所带来的优势，如提高教学效率、增强教学个体化、促进文化融合等，同时也深入探讨了面临的数据安全与隐私保护、技术可靠性与适应性、教育理念转变以及跨文化教育等挑战，并提出了相应的应对策略。通过合理利用人工智能技术，有望提升外训学员血管外科教学质量，为国际医学人才培养做出积极贡献。

Abstract

As the globalization process accelerates and international medical exchanges become increasingly frequent

the status of foreign trainees in Chinese medical education system has become increasingly important. This paper explores the application of artificial intelligence technology in teaching vascular surgery for foreign trainees

including its specific application forms in theoretical teaching

surgical skill training

case analysis

and clinical decision-making. This article analyzes the advantages of integrating artificial intelligence into teaching foreign trainees

such as improving teaching efficiency

enhancing individualized teaching

and promoting cultural integration. Moreover

this paper discusses the challenges such as data security and privacy protection

technical reliability and adaptability

the transformation of educational concepts

and cross-cultural education

and proposes corresponding strategies to address these issues. The rational use of artificial intelligence technology is expected to improve the teaching quality of vascular surgery for foreign trainees and make a positive contribution to the cultivation of international medical talents.

关键词

Keywords

references

Krive J , Isola M , Chang L , et al . Grounded in reality: artificial intelligence in medical education [J ] . JAMIA Open , 2023 , 6 ( 2 ): ooad037 . DOI: 10.1093/jamiaopen/ooad037 http://dx.doi.org/10.1093/jamiaopen/ooad037 .

聂宇博，贡献 . 临床医学专业外训学员医院实习效果调查 [J ] . 解放军医院管理杂志， 2021 ， 28 （ 4 ）： 380 - 382 . DOI: 10.16770/J.cnki.1008-9985.2021.04.028 http://dx.doi.org/10.16770/J.cnki.1008-9985.2021.04.028 .

McLennan S , Meyer A , Schreyer K , et al . German medical students' views regarding artificial intelligence in medicine: a cross-sectional survey [J ] . PLoS Digit Health , 2022 , 1 ( 10 ): e0000114 . DOI: 10.1371/journal.pdig.0000114 http://dx.doi.org/10.1371/journal.pdig.0000114 .

Chan KS , Zary N . Applications and challenges of implementing artificial intelligence in medical education: integrative review [J ] . JMIR Med Educ , 2019 , 5 ( 1 ): e13930 . DOI: 10.2196/13930 http://dx.doi.org/10.2196/13930 .

Ngo B , Nguyen D , VanSonnenberg E . The cases for and against artificial intelligence in the medical school curriculum [J ] . Radiol Artif Intell , 2022 , 4 ( 5 ): e220074 . DOI: 10.1148/ryai.220074 http://dx.doi.org/10.1148/ryai.220074 .

仇宽永 . 自然语言处理技术在外语课程思政中的应用：以德语报刊阅读课程中“可持续发展”的话语建构为例 [J ] . 语言教育， 2024 ， 12 （ 4 ）： 76 - 86 .

Clusmann J , Kolbinger FR , Muti HS , et al . The future landscape of large language models in medicine [J ] . Commun Med , 2023 , 3 ( 1 ): 141 . DOI: 10.1038/s43856-023-00370-1 http://dx.doi.org/10.1038/s43856-023-00370-1 .

王春娟，刘非，张维杰，等 . 支持力反馈的个性化膝关节置换虚拟手术仿真系统的研究与构建 [J ] . 中国生物医学工程学报， 2018 ， 37 （ 6 ）： 694 - 704 . DOI: 10.3969/j.issn.0258-8021.2018.06.008 http://dx.doi.org/10.3969/j.issn.0258-8021.2018.06.008 .

Kundu S . How will artificial intelligence change medical training? [J ] . Commun Med , 2021 , ( 1 ): 8 . DOI: 10.1038/s43856-021-00003-5 http://dx.doi.org/10.1038/s43856-021-00003-5 .

Oquendo YA , Riddle EW , Hiller D , et al . Automatically rating trainee skill at a pediatric laparoscopic suturing task [J ] . Surg Endosc , 2018 , 32 ( 4 ): 1840 - 1857 . DOI: 10.1007/s00464-017-5873-6 http://dx.doi.org/10.1007/s00464-017-5873-6 .

包霆威，吕炯，何剑锋 . 数字化虚拟手术在口腔颌面外科临床教学中的应用 [J ] . 中国医学教育技术， 2021 ， 35 （ 5 ）： 636 - 640， 646 . DOI: 10.13566/j.cnki.cmet.cn61-1317/g4.202105023 http://dx.doi.org/10.13566/j.cnki.cmet.cn61-1317/g4.202105023 .

魏周阳，谭谈，刘忠，等 . 数字化解剖与虚拟手术仿真系统在骨科PBL教学中的应用及效果评价 [J ] . 医学教育研究与实践， 2023 ， 31 （ 2 ）： 215 - 219, 230 . DOI: 10.13555/j.cnki.c.m.e.2023.02.020 http://dx.doi.org/10.13555/j.cnki.c.m.e.2023.02.020 .

Fischer UM , Shireman PK , Lin JC . Current applications of artificial intelligence in vascular surgery [J ] . Semin Vasc Surg , 2021 , 34 ( 4 ): 268 - 271 . DOI: 10.1053/j.semvascsurg.2021.10.008 http://dx.doi.org/10.1053/j.semvascsurg.2021.10.008 .

Lehman CD , Wellman RD , Buist DSM , et al . Diagnostic accuracy of digital screening mammography with and without computer-aided detection [J ] . JAMA Intern Med , 2015 , 175 ( 11 ): 1828 - 1837 . DOI: 10.1001/jamainternmed.2015.5231 http://dx.doi.org/10.1001/jamainternmed.2015.5231 .

杨吉才 . 基于ID3决策树分类模型的自动评估学生技能水平的算法 [J ] . 无线互联科技， 2024 ， 21 （ 18 ）： 17 - 22 .

杨泽松，张婕，牟君 . 人工智能在神经内科教学中的应用 [J ] . 中华医学教育探索杂志， 2024 ， 23 （ 11 ）： 1441 - 1445 . DOI： 10.3760/cma.j.cn116021-20230722-01734 http://dx.doi.org/10.3760/cma.j.cn116021-20230722-01734 .

Duong MT , Rauschecker AM , Rudie JD , et al . Artificial intelligence for precision education in radiology [J ] . Br J Radiol , 2019 , 92 ( 1103 ): 20190389 . DOI: 10.1259/bjr.20190389 http://dx.doi.org/10.1259/bjr.20190389 .

Esmaeilzadeh P . Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: a perspective for healthcare organizations [J ] . Artif Intell Med , 2024 , 151 : 102861 . DOI: 10.1016/j.artmed.2024.102861 http://dx.doi.org/10.1016/j.artmed.2024.102861 .

陈泞夙，赵凯，薛心雨，等 . 基于人工智能的临床辅助决策系统早期临床评价研究的报告规范（DECIDE-AI）解读 [J ] . 中国循证医学杂志， 2024 ， 24 （ 9 ）： 1100 - 1107 .

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 .

刘成程，寻萌，韩蕾，等 . 人工智能推动医学教育改革的现状与展望 [J ] . 基础医学教育， 2024 ， 26 （ 10 ）： 890 - 894 . DOI: 10.13754/j.issn2095-1450.2024.10.15 http://dx.doi.org/10.13754/j.issn2095-1450.2024.10.15 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Construction of artificial intelligence neuroimaging education platform for medical imaging students in clinical practice stage and pre-service resident trainees

Application of AI image recognition system in improving the quality of training on ultrasound-guided nerve block technique for residents

Implementation strategies and advantages of Zettelkasten note-taking method in medical education

Application of artificial intelligence in the teaching of neurology

The current status and applications of artificial intelligence in oncology surgery medical education

Related Author

Lu Jie

Shan Yi

Rong Dongdong

Zhang Miao

Su Zhuangzhi

Li Ruili

Wang Qiang

Ma Xinwei

Related Institution

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University

Department of Anesthesiology, The Affiliated Hospital of Qingdao University

Department of Anesthesiology, National Cancer Center/National Clinical Research Center for Caner/Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College

Department of Gastrointestinal Surgery, Xijing Hospital of Digestive Diseases, Air Force Military Medical University

Department of Neurology, The First Affiliated Hospital of Chongqing Medical University

⁰