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核磁共振和脑膜瘤研究:热点和趋势通过图书统计分析

FuQiang Tang¹, Zhou Yuan Wei¹, Xuan Su¹

¹Department of Nursing, Zhuhai Campus of Zunyi Medical University, Zhuhai, China.

Current medical imaging

|February 15, 2026

概括

精确的脑膜瘤诊断需要先进的MRI,但面临着障碍. 本文献分析突出显示了人工智能.

科学领域:

医疗成像医学成像
人工智能在医学中的应用
图书统计学图书统计学

背景情况:

精确的脑膜瘤诊断依赖于MRI的进步,但受到有限的临床翻译,不一致的数据标准和不匹配的算法资源分配的阻碍.
在指导这一领域的基于证据的创新方面,文献计量分析至关重要.

研究的目的:

对脑膜瘤MRI研究进行全面的文献分析.
确定研究趋势,热点,关键贡献者和合作模式.
为未来的研究方向提供信息,并解决临床翻译和人工智能开发中的现有障碍.

主要方法:

我们对来自Web of Science的4280篇文章进行了图书统计分析.
使用的工具包括CiteSpace,Bibliometrix和SciExplorer,并对数据质量进行双重选.

主要成果:

脑膜瘤MRI研究显示了一个S形的生长模式,明显转向AI应用.
美国和中国在出版量方面处于领先地位,而欧洲在研究效率方面表现出色.
人工智能模型表现出高的诊断准确性 (AUC 0.82-0.97),但在数据标准化,可解释性和资源分配方面存在局限性.

结论:

人工智能指南的制定和实施之间存在时间差距,以及低场强度验证的缺陷.
优先考虑多中心标准化协议,可解释的人工智能和轻量级算法对于≤1.5T扫描仪至关重要.
公平的AI部署的现场强度不可知战略得到了定量证据的支持.

关键词:

人工智能的人工智能图书统计系统 (Bibliometric) 是一个图书统计系统.深度学习 (Deep Learning) 是一种深度学习.股权. 自己的资本.全球健康全球健康这就是为什么MRI是MRI.阴道瘤是发生在阴道上的人.无线电学 (Radiomics) 是一种辐射学.

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