癌症领域人工智能的全球发展：1983年至2022年的文献计量分析
Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022.
作者信息
Wang Sui-Han, Chen Guoqiao, Zhong Xin, Lin Tianyu, Shen Yan, Fan Xiaoxiao, Cao Liping
机构信息
Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Department of General Surgery, The First People's Hospital of Yu Hang District, Hangzhou, China.
出版信息
Front Oncol. 2023 Jul 14;13:1215729. doi: 10.3389/fonc.2023.1215729. eCollection 2023.
BACKGROUND
Artificial 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.
METHODS
The 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.
RESULTS
A 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.
CONCLUSION
This study systematically summarizes the current research overview of AI in cancer research so as to lay the foundation for future research.
背景
如今人工智能（AI）在癌症领域得到广泛应用。本研究旨在探讨人工智能在癌症研究中的热点和趋势。
方法
检索词包括四个主题词（“肿瘤”“癌症”“癌”和“人工智能”），于1983年1月至2022年12月在科学网数据库中进行检索。然后，我们使用文献计量软件记录并处理所有数据，包括国家、洲、期刊影响因子等。
结果
共收集并分析了6920篇论文。我们展示了年度出版物和被引频次、发文量最多的国家/地区、最具影响力的学者、期刊和机构的合作情况，以及基于人工智能的癌症研究的重点和热点。
结论
本研究系统总结了人工智能在癌症研究中的当前研究概况，为未来研究奠定基础。
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