自2000年以来,人工智能在炎症性肠病中的全球学术分布和研究热点的变化
Likang Xu1, Jinzhao Zou2, Chao Sun3
1Department of Clinical Medicine, Medical College, Yangzhou University, Yangzhou, China.
Frontiers in medicine
|July 28, 2025
概括
人工智能 (AI) 越来越多地用于炎症性肠病 (IBD) 管理. 最近的研究突出了AI在放射学,内镜,自然语言处理 (NLP) 和个性化医学的应用.
科学领域:
- 医疗信息学 医疗信息学
- 生物医学工程 生物医学工程
背景情况:
- 人工智能 (AI) 显示出对炎症性肠病 (IBD) 的临床管理具有重大潜力.
- 在IBD研究中AI应用方面缺乏图书统计分析.
- 这项研究解决了IBD文献中对AI的全面概述的需求.
研究的目的:
- 描述IBD人工智能应用的发展趋势.
- 在人工智能驱动的IBD研究中确定关键研究热点.
- 提供2000-2024年IBD文献中AI的文献分析.
主要方法:
- 从Web of Science核心集合 (2000-2024) 中对1136篇出版物的图书法分析.
- 分析出版趋势,主要机构和作者.
- 可视化工具 (CiteSpace,Charticulator) 用于协作网络和爆发分析.
主要成果:
- 观察到IBD人工智能年度出版物的快速增长趋势.
- 美国在出版物方面处于领先地位,哈佛大学和瑞安·斯蒂德姆分别是高度贡献的机构和作者.
- 2020年后的研究热点包括放射学,内镜,自然语言处理 (NLP) 和个性化医学.
结论:
- 美国是IBD研究中AI的主要贡献者.
- 目前的研究重点是放射学,内镜,NLP和个性化医学等先进领域.
- 这种图书统计分析为IBD人工智能领域的研究人员提供了宝贵的见解.
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