Email Alert RSS
Volume 13 Issue 5
Sep.  2022
Turn off MathJax
Article Contents
Abstract
References
SHI Jiyuan, TIAN Jinhui, GAO Ya, XU Jian'guo, LI Zheng. A Bibliometric Analysis of the Global Research Output on Artificial Intelligence Clinical Research[J]. Medical Journal of Peking Union Medical College Hospital, 2022, 13(5): 871-879. DOI: 10.12290/xhyxzz.2021-0746
Citation: SHI Jiyuan, TIAN Jinhui, GAO Ya, XU Jian'guo, LI Zheng. A Bibliometric Analysis of the Global Research Output on Artificial Intelligence Clinical Research[J]. Medical Journal of Peking Union Medical College Hospital, 2022, 13(5): 871-879. DOI: 10.12290/xhyxzz.2021-0746
shu

A Bibliometric Analysis of the Global Research Output on Artificial Intelligence Clinical Research

  • 1.

    School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100044, China

  • 2.

    Evidence-Based Medicine Center, Lanzhou University, Lanzhou 730000, China

  • 3.

    Key Laboratory of Evidence-based Medicine and Knowledge Translation of Gansu Province, Lanzhou University, Lanzhou 730000, China

More Information
  • Corresponding author:

    LI Zheng, E-mail: zhengli@pumc.edu.cn

  • Received Date: December 14, 2021
  • Accepted Date: January 24, 2022
  • Available Online: July 05, 2022
  • Issue Publish Date: September 29, 2022
    Graphical Abstract
    • Abstract
  •   Objective  To explore the research status of randomized controlled trial (RCT) with the application of artificial intelligence (AI) in the medical field, in order to provide insights for Chinese scholars to carry out AI research.
      Methods  AI related RCT researches were obtained by searching PubMed database. The Web of Science was used to obtain the publication year, citations, authors, institutions, and countries of included AI related RCT researches. The VOSviewer 1.6.17 software was used to extract the related information, generate visual cooperation network maps for the country, institutions and authors, and perform cluster analysis for keywords. The Cite Space 5.8.R3 software was used to analyze the burst citation references and keywords.
      Results  A total of 1174 RCTs in AI field were included, with an average citation frequency of 36.09. The publication time was from 1989 to 2021, and the number of articles increased rapidly after 2007. Among them, the top 5 countries with the number of published articles were the United States (37.22%, 437 papers), Italy (10.90%, 128 papers), South Korea (8.86%, 104 papers), Germany (8.35%, 98 papers), China (7.84 %, 92 papers); the top 5 research institutions with the most published papers were Harvard University (2.98%, 35 papers), Yonsei University (2.73%, 32 papers), Northwestern University (2.21%, 26 papers), Massachusetts Institute of Technology (2.13%, 25 papers), Stanford University (1.96%, 23 papers), and the top 5 authors were Krebs (22 papers, Massachusetts Institute of Technology, US), Calabro (11 papers, IRCCS Neural Center, Italy), Picelli (11 papers, University of Verona, Italy), Smania (11 papers, University of Verona, Italy), Lin (10 papers, Taiwan University, China). Insufficient cooperation between prolific authors, research institutions, countries. The main hot topics were the application of robot technology in treatment, the application of machine learning in disease diagnosis and management, and the application of AI in rehabilitation training. Combined with strongest citation burst, it was found that robot assistance and machine learning may be the current research hot topics.
      Conclusions  AI has great application prospects in the medical field, and the number of AI related RCT medical research has increased rapidly in recent years. Although the developed countries are in the leading position in this field, the researchers and research institutions in China have shown great potential. At present, the cooperation between the authors, research institutions and countries conducting AI related RCT medical research is not close, and the research topic needs to be expanded.
    • FullText(HTML)
    • References (17)
  • [1]
    刘伯炎, 王群, 徐俐颖, 等. 人工智能技术在医药研发中的应用[J]. 中国新药杂志, 2020, 29: 1979-1986. DOI: 10.3969/j.issn.1003-3734.2020.17.011

    Liu BY, Wang Q, Xu LY, et al. Application of artificial intelligence technology in pharmaceutical research and development[J]. Zhongguo Xinyao Zazhi, 2020, 29: 1979-1986. DOI: 10.3969/j.issn.1003-3734.2020.17.011
    [2]
    朱森华, 章桦. 人工智能技术在医学影像产业的应用与思考[J]. 人工智能, 2020(3): 94-105. https://www.cnki.com.cn/Article/CJFDTOTAL-DKJS202003010.htm

    Zhu SH, Zhang H. Application and thinking of artificial intelligence technology in medical imaging industry[J]. Rengong Zhineng, 2020(3): 94-105. https://www.cnki.com.cn/Article/CJFDTOTAL-DKJS202003010.htm
    [3]
    McGenity C, Treanor D. Guidelines for clinical trials using artificial intelligence - SPIRIT-AI and CONSORT-AI[J]. J Pathol, 2021, 253: 14-16. DOI: 10.1002/path.5565
    [4]
    Liu X, Rivera SC, Moher D, et al. SPIRIT-AI and CONSORT-AI Working Group. Reporting guidelines for clinical trial reports for interventions involving artificial intelli-gence: the CONSORT-AI Extension[J]. BMJ, 2020, 370: m3164.
    [5]
    Cruz Rivera S, Liu X, Chan AW, et al. SPIRIT-AI and CONSORT-AI Working Group; SPIRIT-AI and CONSORT-AI Steering Group; SPIRIT-AI and CONSORT-AI Consensus Group. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension[J]. Nat Med, 2020, 26: 1351-1363. DOI: 10.1038/s41591-020-1037-7
    [6]
    邓卓, 苏秉华, 张凯. 深度学习算法在乳腺肿瘤诊断中的应用研究[J]. 中国医疗设备, 2020, 35: 60-64. https://www.cnki.com.cn/Article/CJFDTOTAL-YLSX202009015.htm

    Deng Z, Su BH, Zhang K. Application of deep learning algorithm in breast cancer diagnosis[J]. Zhongguo Yiliao Shebei, 2020, 35: 60-64. https://www.cnki.com.cn/Article/CJFDTOTAL-YLSX202009015.htm
    [7]
    吴东, 刘星宇, 张逸凌, 等. 人工智能辅助全髋关节置换术三维规划系统的研发及临床应用研究[J]. 中国修复重建外科杂志, 2020, 34: 1077-1084. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXCW202009001.htm

    Wu D, Liu XY, Zhang YL, et al. Research and develop-ment of artificial intelligence assisted three-dimensional planning system for total hip arthroplasty and its clinical application[J]. Zhongguo Xiufu Chongjian Waike Zahzi, 2020, 34: 1077-1084. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXCW202009001.htm
    [8]
    赵显鹏. 机器学习在医疗健康数据分析中的应用[J]. 电子世界, 2020(18): 116-117. https://www.cnki.com.cn/Article/CJFDTOTAL-ELEW202018057.htm

    Zhao XP. Application of machine learning in medical and health data analysis[J]. Dianzi Shijie, 2020(18): 116-117. https://www.cnki.com.cn/Article/CJFDTOTAL-ELEW202018057.htm
    [9]
    Gao Y, Shi S, Ma W, et al. Bibliometric analysis of global research on PD-1 and PD-L1 in the field of cancer[J]. Int Immunopharmacol, 2019, 72: 374-384. DOI: 10.1016/j.intimp.2019.03.045
    [10]
    高亚, 李沐阳, 孙月, 等. 证据图研究合作能力与研究主题分析[J]. 中国药物评价, 2019, 36: 165-168. DOI: 10.3969/j.issn.2095-3593.2019.03.002

    Gao Y, Li MY, Sun Y, et al. Evidence map research cooperation ability and research topic analysis[J]. Zhongguo Yaowu Pingjia, 2019, 36: 165-168. DOI: 10.3969/j.issn.2095-3593.2019.03.002
    [11]
    Gao Y, Ge L, Shi S, et al. Global trends and future prospects of e-waste research: a bibliometric analys[J]. Environ Sci Pollut Res Int, 2019, 26: 17809-17820. DOI: 10.1007/s11356-019-05071-8
    [12]
    Shi J, Gao Y, Ming L, et al. A bibliometric analysis of global research output on network meta-analysis[J]. BMC Med Inform Decis Mak, 2021, 21: 144. DOI: 10.1186/s12911-021-01470-5
    [13]
    史纪元, 高亚, 田金徽, 等. COMET数据库核心指标集研究现状剖析[J]. 中国医药导刊, 2020, 22: 53-58. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYY202001020.htm

    Shi JY, Gao Y, Tian JH, et al. Analysis on the research status of core index set of comet database[J]. Zhongguo Yiyao Daokan, 2020, 22: 53-58. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYY202001020.htm
    [14]
    高亚, 蔺小艳, 李戟玭, 等. 仿制药一致性评价的可视化分析[J]. 中国药物评价, 2017, 34: 241-245. https://www.cnki.com.cn/Article/CJFDTOTAL-YAPJ201704001.htm

    Gao Y, Lin XY, Li JY, et al. Visual analysis of conformity evaluation of generic drugs[J]. Zhongguo Yaowu Pingjia, 2017, 34: 241-245. https://www.cnki.com.cn/Article/CJFDTOTAL-YAPJ201704001.htm
    [15]
    Liang YD, Li Y, Zhao J, et al. Study of acupuncture for low back pain in recent 20 years: a bibliometric analysis via Cite Space[J]. J Pain Res, 2017, 10: 951-964.
    [16]
    Lo AC, Guarino PD, Richards LG, et al. Robot-assisted therapy for long-term upper-limb impairment after stroke[J]. N Engl J Med, 2010, 362: 1772-1783.
    [17]
    陈俊任, 曾瑜, 张超, 等. 人工智能医学应用的文献传播的可视化研究[J]. 中国循证医学杂志, 2021, 21: 973-979. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZXZ202108014.htm

    Chen JR, Zeng Y, Zhang C, et al. Visual research on literature dissemination of artificial intelligence medical application[J]. Zhongguo Xunzheng Yixue Zazhi, 2021, 21: 973-979. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZXZ202108014.htm
    • Related Articles

  • Cited by

    Periodical cited type(4)

    1. 俞婧，王瑞，武云. 基于VOSviewer的我国叙事医学相关文献的可视化分析及启示. 中国毕业后医学教育. 2024(03): 207-213 .
    2. 史纪元，罗家音，王雪莲，高亚，田金徽，李峥. 国内外人工智能护理相关研究热点和趋势分析. 军事护理. 2023(07): 16-19 .
    3. 刘纳，王青，丁晓彤，王琳，韦帅芳，朱明月，史纪元. 人工智能在护理管理领域应用的研究进展与展望. 中华现代护理杂志. 2023(19): 2521-2525 .
    4. 龙囿霖，王心怡，郭琼，林逸飞，黄进，杜亮. 人工智能医疗器械临床试验设计与实施的挑战与对策. 中国循证医学杂志. 2022(12): 1453-1458 .

    Other cited types(0)

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (811) PDF downloads (81) Cited by(4)
    Related
    Links: National Health Commission of the People's Republic of China Chinese Academy of Medical Sciences(CAMS) AMLC Check CNKI Database CNKI Term Online Chinese General Practice
    Address：Room 302,Third Floor,Building 7, No. 1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing 100730, China
    Tel：010-69154261/4262
    E - mail：medj@pumch.cn mjpumch@126.com
    Copyright of website：Editorial Office of Medical Journal of Peking Union Medical College Hospital

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return
    x Close Forever Close