Yu Yi, Zhu Zheng, Li Yanwei, Guo Yi, Ren Haiyan
College of Acupuncture-Moxibustion and Tuina, 7College of TCM, Tianjin University of TCM, Tianjin 301617, China.
1College of Acupuncture-Moxibustion and Tuina, 7College of TCM, Tianjin University of TCM, Tianjin 301617, China; 2Tianjin University of TCM; 3Tianjin Key Laboratory of Innovation and Transformation of Modern TCM Theory, Tianjin 301617; 4Institute of Standardization of TCM, Tianjin University of TCM, Tianjin 301617; 5Tianjin Institute of Wisdom TCM Industry, Tianjin 300193; 6Tianjin Key Laboratory of Intelligent TCM Diagnosis and Treatment Technology and Equipment, Tianjin 301617.
Zhongguo Zhen Jiu. 2024 Aug 12;44(8):975-82. doi: 10.13703/j.0255-2930.20231128-k0007.
To explore the research hotspot, development trend and existing problem of artificial intelligence (AI) application in the field of acupuncture and moxibustion by using bibliometric method. Relevant articles of AI application in the field of acupuncture and moxibustion published in CNKI, Wanfang, VIP, PubMed and Web of Science from the database establishment to September 17, 2023 were searched. Excel 2019, CiteSpace 6.2.R4 and VOSviewer 1.6.19 were used to draw visual map of the number of publication, authors, research institutions and keywords, and further analyzed the research hotspot and trend. A total of 443 Chinese articles and 68 English articles were included. The number of annual publication of Chinese articles showed an overall increasing trend, while the number of publication of English articles was less, with a growing trend from 2020. Keywords analysis showed that "Machine learning", "neural network", "deep learning", "data mining", "robot" and other AI technologies were developing around acupuncture and moxibustion diagnosis and treatment of disease, efficacy prediction, teaching and intelligent equipment development. However, the research on the application of AI in the field of acupuncture and moxibustion is in the preliminary stage of development, and in the future, it is necessary to strengthen the communication and cooperation among the teams, to further explore the AI system in line with the characteristics of acupuncture and moxibustion diagnosis and treatment, and to promote the development of the digitalisation, intellectualisation and industrialisation of acupuncture and moxibustion.
运用文献计量学方法,探讨人工智能(AI)在针灸领域应用的研究热点、发展趋势及存在的问题。检索中国知网、万方、维普、PubMed及Web of Science数据库中自建库至2023年9月17日发表的AI在针灸领域应用的相关文章。使用Excel 2019、CiteSpace 6.2.R4和VOSviewer 1.6.19绘制发文量、作者、研究机构及关键词的可视化图谱,并进一步分析研究热点与趋势。共纳入443篇中文文章和68篇英文文章。中文文章年发文量呈总体上升趋势,英文文章发文量较少,2020年起呈增长趋势。关键词分析显示,“机器学习”“神经网络”“深度学习”“数据挖掘”“机器人”等AI技术围绕针灸诊疗疾病、疗效预测、教学及智能装备研发等方面发展。然而,AI在针灸领域的应用研究尚处于发展初期,未来需加强团队间的交流合作,进一步探索符合针灸诊疗特点的AI系统,推动针灸数字化、智能化及产业化发展。