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

doi:10.1117/12.2671844

16 March 2023 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

Author Affiliations +

Proceedings Volume 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022); 125931V (2023) https://doi.org/10.1117/12.2671844
Event: 2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 2022, Guangzhou, China

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.

Citation Download Citation

Shi Li, Lingling Han, Ke Huang, Fangzhen Ge, and Lele Zhang "Knowledge atlas on the medical artificial intelligence research: a bibliometric analysis based on CiteSpace and VOSviewer", Proc. SPIE 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 125931V (16 March 2023); https://doi.org/10.1117/12.2671844

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KEYWORDS

Artificial intelligence

Medical research

Biomedical applications

Analytical research

Medicine

Diseases and disorders

Medical imaging

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