目的使用可视化分析软件对近20年来在人工智能应用于医学装备领域的研究热点及趋势进行分析,为相关科研和医疗工作者开展相应研究和应用提供参考.方法 在CNKI和Web of Science核心合集数据库检索自2002年1月-2022年12月发表的关于人工智能应用于医学装备领域的相关文献,将收集到的文献以标准格式导入CiteSpace软件中,从年发文量、作者、研究机构、关键词4个方面进行可视化图谱分析.结果 纳入人工智能应用于医学装备领域研究共2181篇,其中CNKI数据库纳入539篇,Web of Science核心合集数据库纳入1642篇.该领域CNKI数据库研究者共267人,发文机构209个;该领域Web of Science核心合集数据库共有学者640人,发文机构468个;CNKI数据库文献的研究热点主要为人工智能、医疗器械、医学装备、深度学习、辅助诊断等,其中人工智能、医学装备、辅助诊断是研究前沿;Web of Science核心合集数据库文献的研究热点和前沿主要有分类、物联网、信息技术、图像分割、深度学习、医学人工智能等.结论 目前,医疗领域的人工智能正蓬勃发展.虽然应用广泛,但合作仍分散.未来的研究将更加强调团队合作和跨学科交叉,以便更好地利用各方面的资源和优势,为科研人员提供更加清晰的研究方向和指导,从而推动研究成果的创新和发展.
Visualization Analysis of Artificial Intelligence Applied to Medical Equipment Research Based on CiteSpace
Objective To analyze the research hotspots and trends of artificial intelligence applied to medical equipment in the past 20 years by using visual analysis software,and to provide reference for relevant scientific research and medical workers to carry out corresponding research and application.Methods The relevant literatures on the application of artificial intelligence in the field of medical equipment published from January 2002 to December 2022 were searched in the core collection database of CNKI and Web of Science.The collected literatures were imported into CiteSpace software in standard format,and the visual map analysis was carried out from four aspects:annual publication volume,authors,research institutions and keywords.Results A total of 2181 literatures on the application of artificial intelligence in the field of medical equipment were included,including 539 literatures in the CNKI database and 1642 literatures in the Web of Science core collection database.A total of 267 researchers from CNKI database in this field and 209 publishing institutions were included.There were 640 scholars and 468 publishing institutions in the core collection database of Web of Science in this field.The research hotspots of CNKI database literature mainly included artificial intelligence,medical equipment,medical equipment,deep learning,auxiliary diagnosis,etc.,which were the research frontiers of artificial intelligence,medical equipment and auxiliary diagnosis.The research hotspots and frontiers of Web of Science core collection database literature mainly included classification,Internet of Things,information technology,image segmentation,deep learning,medical artificial intelligence,etc.Conclusion At present,artificial intelligence in the medical field is booming.Although widely used,cooperation is still scattered.Future research will place more emphasis on teamwork and interdisciplinary crossover,so as to make better use of various resources and advantages,provide researchers with clearer research directions and guidance,and promote the innovation and development of research results.
万方数据
维普
