Chinese Journal of Medical Education

Chinese Journal of Medical Education >

2024 , Vol. 44 >Issue 5: 339 - 345

DOI: https://doi.org/10.3760/cma.j.cn115259-20230802-00079

Visual analysis of the application researches of artificial intelligence in the field of medical education based on Web of Science

  • Zhang Yongming ,
  • Chen Yanjia ,
  • Guo Wei ,
  • Zhong Mei ,
  • Sun Yi′nan
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  • 1Department of Education, National Cancer Center & National Clinical Research Center for Cancer & Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China;
    2Department of Statistics, National Cancer Center & National Clinical Research Center for Cancer & Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China;
    3Department of Thoracic Surgery, National Cancer Center & National Clinical Research Center for Cancer & Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China;
    4Department of Information Consulting, Medical Information Institute, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China

Received date: 2023-08-02

  Online published: 2024-04-30

Supported by

Peking Union Medical College Young Medical Educators Training Program(2023zlgc0714)

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Abstract

Objective To explore the basic situation and research hotspots of the artificial intelligence application in the field of medical education. Methods Based on Web of Science, the applied researches of artificial intelligence in medical education were retrieved during January 1986 to June 2023, and by the bibliometric methods to analyze the literature statistically and create a co-occurrence network of topic words, then drawing a topic clustering map and a cooperation network map between countries which the papers belong to. Results A total of 988 papers were retrieved, and the number of publications had significantly increased since 2017. The United States ranked first in terms of publication volume, with a total of 386 published papers accounting for 39.1%, while China had published 134 papers accounting for 13.6%. The high-frequency topic words and their frequencies were 152 times in machine learning, 62 times in deep learning, 32 times in natural language processing and 18 times in virtual reality, respectively. Conclusions The researches of the artificial intelligence application in the field of medical education are constantly increasing, and China need to strengthen publication volume. Machine learning, deep learning, natural language processing and virtual reality are the main research hotspots of the artificial intelligence application in the field of medical education currently.

Key words： Artificial intelligence; Medical education; Literature review; Research hotspots; Visual analysis

Cite this article

Zhang Yongming , Chen Yanjia , Guo Wei , Zhong Mei , Sun Yi′nan . Visual analysis of the application researches of artificial intelligence in the field of medical education based on Web of Science[J]. Chinese Journal of Medical Education, 2024 , 44(5) : 339 -345 . DOI: 10.3760/cma.j.cn115259-20230802-00079

References

[1] Liu PR,Lu L,Zhang JY,et al.Application of artificial intelligence in medicine: an overview[J]. Curr Med Sci, 2021,41(6):1105-1115. DOI: 10.1007/s11596-021-2474-3.
[2] 蒋伟,马海涛,郑鸿,等.人工智能在研究生外科教学中的应用探索[J].中国继续医学教育,2022,14(1):152-155. DOI: 10.3969/j.issn.1674-9308.2022.01.039.
[3] 孔维梁, 韩淑云,张昭理.人工智能支持下自适应学习路径构建[J].现代远程教育研究,2020,32(3):94-103. DOI: 10.3969/j.issn.1009-5195.2020.03.011.
[4] 王梦溪,王娜,张欣多,等.人工智能医学教学平台的构建[J].中国高等医学教育,2020(3):46-48.DOI:10.3969/j.issn.1002-1701.2020.03.023.
[5] 冯俊,王敏,郑鹏,等.以病例为基础的人工智能—仿真模拟教学在急危重症教学培训中的应用[J].中国高等医学教育,2023(5):52-53.DOI:10.3969/j.issn.1002-1701.2023.05.021.
[6] Ngiam KY,Khor IW.Big data and machine learning algorithms for health-care delivery[J].Lancet Oncol,2019,20(5):e262-e273.DOI:10.1016/S1470-2045(19)30149-4.
[7] 黄广仕,周梦强,韩春梅,等.人工智能深度学习技术在医学考试试题难度预估中的应用研究[J].中华医学教育杂志,2021,41(10):932-935.DOI:10.3760/cma.j.cn115259-20201203-01668.
[8] 张志常,娄岩.虚拟现实技术在医学教育中应用的前沿与趋势[J].医学教育研究与实践,2021,29(2):190-194,215.DOI:10.13555/j.cnki.c.m.e.2021.02.003.
[9] 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.
[10] 高守宝,张舒婷,孟现美,等.机器学习在科学教育评估中的应用:维度、领域与规律[J].中国教育信息化,2023,29(10):83-92.DOI:10.3969/j.issn.1673-8454.2023.10.009.
[11] Lee J,Wu AS,Li D,et al.Artificial intelligence in undergraduate medical education: a scoping review[J].Acad Med,2021,96(11S):S62-S70.DOI:10.1097/ACM.0000000000004291.
[12] 王晓露,陈锋,邓琪.沉浸式虚拟现实技术在药学实验教学中的应用[J].中华医学教育杂志,2020,40(2):111-114.DOI:10.3760/cma.j.issn.1673-677X.2020.02.008.
[13] 周娜,李爱芹,刘广伟,等.沃森肿瘤人工智能系统在临床中的应用[J].中国数字医学,2018,13(10):23-25.DOI:10.3969/j.issn.1673-7571.2018.10.008.
[14] Kononowicz AA,Woodham LA,Edelbring S,et al.Virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration[J].J Med Internet Res,2019,21(7):e14676.DOI:10.2196/14676.
[15] Sebastian AM,Peter D.Artificial intelligence in cancer research: trends, challenges and future directions[J].Life (Basel),2022,12(12):1991.DOI:10.3390/life12121991.
[16] Powles J,Hodson H.Google DeepMind and healthcare in an age of algorithms[J].Health Technol (Berl),2017,7(4):351-367.DOI:10.1007/s12553-017-0179-1.
[17] 李熠,匡双玉,桂庆军,等.人工智能在医学生临床技能培养中的应用探讨[J].医学教育研究与实践,2018,26(6):908-910,992.DOI:10.13555/j.cnki.c.m.e.2018.06.003.
[18] Hodges BD.Learning from Dorothy Vaughan: artificial intelligence and the health professions[J].Med Educ,2018,52(1):11-13.DOI:10.1111/medu.13350.
[19] Hewson MG,Little ML.Giving feedback in medical education: verification of recommended techniques[J].J Gen Intern Med,1998,13(2):111-116.DOI:10.1046/j.1525-1497.1998.00027.x.
[20] LeCun Y,Bengio Y,Hinton G.Deep learning[J].Nature,2015,521(7553):436-444.DOI:10.1038/nature14539.
[21] Carin L.On Artificial intelligence and deep learning within medical education[J].Acad Med,2020,95:S10-S11.DOI:10.1097/ACM.0000000000003630.
[22] 刘畅,李广普,陈梦欢,等.基于深度学习的心肺复苏术人工智能实时辅助培训和考核系统的构建[J].中华医学教育杂志,2023,43(6):418-422.DOI:10.3760/cma.j.cn115259-20220504-00571.
[23] 王世界,刘华清,张建兴,等.基于自动乳腺全容积成像影像组学的机器学习模型鉴别BI-RADS4类病灶良恶性的临床价值[J].中华超声影像学杂志,2023,32(2):136-143.DOI:10.3760/cma.j.cn131148-20220613-00429.
[24] 龚健雅,宦麟茜,郑先伟.影像解译中的深度学习可解释性分析方法[J].测绘学报,2022,51(6):873-884.
[25] Chary M,Parikh S,Manini AF,et al.A review of natural language processing in medical education[J].West J Emerg Med,2019,20(1):78-86.DOI:10.5811/westjem.2018.11.39725.
[26] Zhou B,Yang G,Shi Z,et al.Natural language processing for smart healthcare[J].IEEE Rev Biomed Eng,2024,17:4-18.DOI:10.1109/RBME.2022.3210270.
[27] Linna N,Kahn CE Jr.Applications of natural language processing in radiology: a systematic review[J].Int J Med Inform,2022,163:104779.DOI:10.1016/j.ijmedinf.2022.104779.
[28] Zech J,Pain M,Titano J,et al.Natural language-based machine learning models for the annotation of clinical radiology reports[J].Radiology,2018,287(2):570-580.DOI:10.1148/radiol.2018171093.
[29] 贾茜,李小莹.利用基于人工智能的临床决策支持系统提升住院医师规范化培训质量[J].医学教育管理,2020,6(6):591-594.DOI:10.3969/j.issn.2096-045X.2020.06.016.
[30] Nicola S,Stoicu-Tivadar L.Mixed reality supporting modern medical education[J].Stud Health Technol Inform,2018,255:242-246.
[31] Wan T,Liu K,Li B,et al.Validity of an immersive virtual reality training system for orthognathic surgical education[J].Front Pediatr,2023,11:1133456.DOI:10.3389/fped.2023.1133456.
[32] Alqahtani T,Badreldin HA,Alrashed M,et al.The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research[J].Res Social Adm Pharm,2023,19(8):1236-1242.DOI:10.1016/j.sapharm.2023.05.016.
[33] 李宗达,刘书强,孟可欣,等.智能时代医学教育的数字化发展[J].中国继续医学教育,2022,14(12):173-177.DOI:10.3969/j.issn.1674-9308.2022.12.045.
[34] 高敏娜,喻姗姗.数字化教学模式在非临床专业医学生病理学教学中应用的利弊分析[J].医学教育研究与实践,2016,24(6):932-934.DOI:10.13555/j.cnki.c.m.e.2016.06.034.
[35] 孟亚玲,武帅,魏继宗.人工智能教育研究的现状、热点与趋势——基于1979～2019年1043篇人工智能教育文献的数据分析[J].现代教育技术,2020,30(3):120-123.DOI:10.3969/j.issn.1009-8097.2020.03.018.
[36] 王巍.驱动智能教育奇点式发展的人工智能数据技术——评《人工智能与大数据技术导论》[J].科技管理研究,2021,41(4):1.DOI:10.3969/j.issn.1000-7695.2021.04.029.
[37] 刘辰.国务院印发《新一代人工智能发展规划》:构筑我国人工智能发展先发优势[J].中国科技产业,2017(8):78-79.
[38] Mosch L,Agha-Mir-Salim L,Sarica MM,et al.Artificial intelligence in undergraduate medical education[J].Stud Health Technol Inform,2022,294:821-822.DOI:10.3233/SHTI220597.
[39] Chang BS.Transformation of undergraduate medical education in 2023[J].JAMA,2023,330(16):1521-1522.DOI:10.1001/jama.2023.16943.
[40] 教育部关于印发《高等学校人工智能创新行动计划》的通知[J].中华人民共和国教育部公报,2018(4):127-135.
[41] 赵婀娜.开启人工智能辅助临床教学新模式“智慧现实虚拟临床教学中心”落户清华大学[J].吉林医学信息,2017(8):14.
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