放射学作为基于人工智能的COVID-19研究的支柱:来自多样化的文献识别分析的见解
A Navarro Ballester1, J A Merino Bonilla2, L H Ros Mendoza3
1Departamento de Radiología, Hospital General Universitari de Castelló, Castellón de la Plana, Castellón, Spain.
Radiologia
|February 14, 2026
概括
人工智能 (AI) 对COVID-19研究产生了重大影响,特别是在诊断和医疗保健优化方面. 图书识别分析揭示了这个快速发展的领域的关键研究主题和有影响力的出版物.
科学领域:
- 图书统计学 图书统计学
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- COVID-19大流行加速了医疗保健中人工智能 (AI) 应用的研究.
- 本研究探讨了COVID-19和AI研究中的知识结构和知识传播.
研究的目的:
- 在COVID-19研究中绘制AI的研究格局.
- 识别有影响力的出版物和概念框架.
- 了解知识流和研究趋势.
主要方法:
- 从科学网和Scopus (8057 文件) 获取的文献数据.
- 描述性引用分析,对最多引用的1000篇论文进行描述性引用分析.
- 对整个数据集进行文献学合分析.
- 使用R Bibliometrix/Biblioshiny和VOSviewer进行分析和可视化.
主要成果:
- 原始研究占主导地位 (85.21%),流行病后出现的激增.
- 中国和美国领导着出版量,有着重要的国际合作.
- 确定了关键研究集群:人工智能驱动的诊断和医疗保健资源优化.
- 以诊断成像和AI算法为中心的有影响力的主题.
结论:
- 人工智能在应对COVID-19危机方面发挥了关键作用,特别是在诊断和医疗管理方面.
- 图书统计分析提供了对人工智能的多方面的贡献和未来研究方向的见解.
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