喉 dystonia:通过图书统计分析进行全球回顾性研究
Yuanjia Hu1, Lu Xing2, Peiyun Zhuang2
1Department of Voice Medicine, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
概括
全球关于喉 dystonia (LD) 的研究显示增长,但很少有突破. 在LD治疗和理解方面,未来的进展需要国际合作和人工智能 (AI) 等新技术.
科学领域:
- 科学文献的图书统计分析.
- 神经学和耳鼻喉学方面的研究趋势.
背景情况:
- 喉 dystonia (LD) 是一种复杂的神经疾病.
- 了解全球研究成果对于识别进展和差距至关重要.
研究的目的:
- 分析喉 dystonia (LD) 的全球研究趋势和发展情况.
- 确定新兴领域以及新技术和协作在 LD 研究中的作用.
主要方法:
- 从主要数据库中对497项LD研究 (1971-2023) 的图书统计分析.
- 使用R,VOSviewer和Citespace进行趋势和特征分析.
主要成果:
- 在120个期刊的1555名作者的学习和发言出版物显著增长.
- 美国,日本和加拿大领导研究;NIH是主要的资助者.
- 新兴领域包括人工智能,皮质静寂期 (CSP) 和深度大脑刺激 (DBS) 用于LD治疗.
结论:
- 尽管研究越来越多,但在喉 dystonia 中的主要突破是有限的.
- 国际合作和人工智能等先进技术对于加速LD研究和开发至关重要.
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