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人工智能在败血症中的应用:引用网络分析和证据综合
MeiJung Wu1,2, Md Mohaimenul Islam3, Tahmina Nasrin Poly1
1Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Interactive journal of medical research
|April 15, 2024
概括
人工智能 (AI) 对败血症的研究正在迅速扩大,从2014-2023年出版物的数量大幅增加. 本文献分析强调了用于毒症诊断和治疗的AI应用中的关键趋势和贡献者.
科学领域:
- 图书统计学 图书统计学
- 人工智能的人工智能
- 败血症研究 败血症研究
背景情况:
- 人工智能 (AI) 越来越多地被认为具有个性化败血症诊断和治疗的潜力.
- 图书统计分析提供了AI在败血症研究中的全面概述,识别了趋势和未来方向.
研究的目的:
- 为了进行人工智能应用在败血症中的文献分析.
- 提供对研究环境的全面概述,确定关键贡献者和趋势.
主要方法:
- 在Web of Science核心集合中搜索相关的英语文章,直到2023年8月31日.
- 使用Bibliometrix和VOSviewer进行作者,机构,国家,引用和关键词的网络可视化.
主要成果:
- 确定了2014年至2023年间发表的259篇相关文章,显示了年度出版物的持续增加.
- 美国和中国是最多产的国家,主要的期刊包括临床护理医学和医学前沿.
- 研究表明,近年来,人工智能用于败血症的应用显著增加.
结论:
- 这项分析为医疗保健政策制定者和研究人员提供了有关AI在败血症中的潜力的宝贵见解.
- 这些发现有助于理解AI模型对败血症管理的优势,可持续性,范围和影响.
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