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临时关疾病的MRI全球研究趋势:通过CiteSpace进行的文献计量研究和可视化分析
Yu Luo1,2, Mengqi Liu3, Yujiao Jiang1,4
1Department of Radiology, Hainan Hospital of PLA General Hospital, 572013 Sanya, Hainan, China.
Journal of oral & facial pain and headache
|December 23, 2025
概括
本文库分析绘制了对部疾病的磁共振成像 (MRI) 研究的地图,揭示了人工智能驱动的诊断和多式成像作为未来的关键趋势.
科学领域:
- 医学成像和诊断 医学成像和诊断
- 圣经计量学和科学计量学
- 口腔和牙面部外科手术
背景情况:
- 绘制磁共振成像 (MRI) 对部部疾病 (TMD) 的智力景观.
- 识别TMD-MRI研究中的新兴趋势和知识差距.
- 从1995年到2024年分析全球研究成果和合作网络.
研究的目的:
- 进行对MRI研究在部疾病 (TMD) 的文献分析.
- 绘制知识结构的地图,并确定该领域的新兴趋势.
- 确定知识缺口,并建议未来的研究方向.
主要方法:
- 从Web of Science核心集合 (1995-2024) 中对1017篇文章进行了图书统计分析.
- 使用CiteSpace 6.4.R1进行网络分析,共同引用,关键字聚类和爆发检测.
- 使用特定的搜索术语用于部疾病 (TMD) 和磁共振成像 (MRI).
主要成果:
- 年度出版物显示三阶段增长,在2022年达到顶峰.
- 美国领导全球合作;上海通大学是最具生产力的机构.
- 关键的研究领域包括人工智能驱动的诊断 (深度学习),先进的成像方法和临床管理.
结论:
- 对于TMD-MRI的研究范式正在向AI集成发展.
- 与人工智能 (AI) 结合的多式成像是一种显著的新兴趋势.
- 未来的研究应该专注于人工智能驱动的诊断和TMD的先进成像技术.
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