Knowledge atlas on the medical artificial intelligence research: a bibliometric analysis based on CiteSpace and VOSviewer

Shi Li, Lingling Han, Ke Huang, Fangzhen Ge, Lele Zhang
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Abstract

In order to draw and analyze the current status of the research on the application of artificial intelligence in the field of health in China and abroad, we explored the hotspots and frontiers of this research field and the evolution path from 2012 to 2022. This research uses 3743 articles included in the core database of Web of Science and 728 related research articles contained in CNKI as the basis for data analysis, and uses the advantages of bibliometrics visualization software of CiteSpace and VOSviewer to study institutions, countries, authors and literature keywords. In this research area, the research of medical artificial intelligence is growing day by day. By analyzing and sorting out the current research status, research hotspots and evolution path in this field of research, and trying to point out the deficiencies in the research in this field in China, the paper hopes to provide more references for researchers and practitioners of medical artificial intelligence related research.
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医学人工智能研究的知识图谱:基于CiteSpace和VOSviewer的文献计量学分析
为了总结和分析国内外人工智能在健康领域应用的研究现状,我们探索了2012年至2022年这一研究领域的热点和前沿以及演进路径。本研究以Web of Science核心数据库收录的3743篇论文和CNKI收录的728篇相关研究论文为数据分析基础,利用文献计量可视化软件CiteSpace和VOSviewer的优势,对机构、国家、作者和文献关键词进行研究。在这一研究领域,医疗人工智能的研究日益增多。通过对该研究领域的研究现状、研究热点和演进路径进行分析和梳理,并试图指出国内在该领域研究的不足,希望能为医学人工智能相关研究的研究者和实践者提供更多的参考。
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