Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022

被引:3
|
作者
Wang, Sui-Han [1 ]
Chen, Guoqiao [1 ]
Zhong, Xin [1 ]
Lin, Tianyu [1 ]
Shen, Yan [2 ]
Fan, Xiaoxiao [1 ]
Cao, Liping [1 ]
机构
[1] Zhejiang Univ, Sir Run Run Shaw Hosp, Sch Med, Dept Gen Surg, Hangzhou, Peoples R China
[2] First Peoples Hosp Yu Hang Dist, Dept Gen Surg, Hangzhou, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2023年 / 13卷
关键词
artificial intelligence; neoplasms; bibliometric analysis; deep learning; machine learning;
D O I
10.3389/fonc.2023.1215729
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundArtificial intelligence (AI) is widely applied in cancer field nowadays. The aim of this study is to explore the hotspots and trends of AI in cancer research. MethodsThe retrieval term includes four topic words ("tumor," "cancer," "carcinoma," and "artificial intelligence"), which were searched in the database of Web of Science from January 1983 to December 2022. Then, we documented and processed all data, including the country, continent, Journal Impact Factor, and so on using the bibliometric software. ResultsA total of 6,920 papers were collected and analyzed. We presented the annual publications and citations, most productive countries/regions, most influential scholars, the collaborations of journals and institutions, and research focus and hotspots in AI-based cancer research. ConclusionThis study systematically summarizes the current research overview of AI in cancer research so as to lay the foundation for future research.
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页数:10
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