[1]赵雅莉.基于文献计量学分析10年间人工智能在介入放射学领域发展动态和热点[J].介入放射学杂志,2026,(03):292-296.[doi:10.3969/j.issn.1008-794X.2026.03.010]
　ZHAO Yali..Bibliometric-based analysis of the development trends and hotspots of artificial intelligence in the field of interventional radiology over the past 10 years[J].J Intervent Med,2026,(03):292-296.[doi:10.3969/j.issn.1008-794X.2026.03.010]
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基于文献计量学分析10年间人工智能在介入放射学领域发展动态和热点()

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《介入放射学杂志》[ISSN:1008-794X/CN:31-1796/R]

卷:
期数:
2026年03
页码:
292-296
栏目:
数字介入
出版日期:
2026-03-25

文章信息/Info

Title:
Bibliometric-based analysis of the development trends and hotspots of artificial intelligence in the field of interventional radiology over the past 10 years
文章编号:
1008-794X(2026)-003-0292-05
作者:
赵雅莉
730030 甘肃兰州 兰州大学第二医院介入放射科
Author(s):
ZHAO Yali.
Department of Interventional Radiology,Second Hospital of Lanzhou University,Lanzhou,Gansu Province 730030,China
关键词:
介入放射学;  人工智能;  大数据;  文献计量学;  研究动态
分类号:
R815
DOI:
10.3969/j.issn.1008-794X.2026.03.010
文献标志码:
A
摘要:
目的 基于文献计量学分析10年间人工智能(AI)在介入放射学领域发展动态和热点。方法 以Citexs文献综合数据库为来源,使用Citexs数据分析平台对2014年1月至2024年12月发表的AI在介入放射学领域研究文献进行分析整理,对该领域发展动态和研究热点进行可视化分析。结果共检索到2014年1月至2024年12月间该领域文献185篇,美国是发文最多国家(85篇,45.95%),发文最多的研究机构是加拿大多伦多大学(8篇),发文最多的作者是Julius Chapiro(5篇),发文最多的期刊是《Radiology》(44篇)。“interventional radiology”“machine learning”“radiology”“deep learning”“radiomics”是出现频次前5关键词,关键词热度随3个时间段有变化。此外,文献量最多的关联基因是白蛋白(ALB)基因。结论 该研究分析了AI在介入放射学领域研究动态和热点,为后续研究提供了重要参考价值。

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(收稿日期:2025-03-16)
(本文编辑:谷 珂)

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备注/Memo

备注/Memo:
通信作者: 赵雅莉 E-mail:zhaoyali02@126.com
更新日期/Last Update: 2026-03-25