放射学和缺血性中风研究:参考文献的见解和视觉趋势 (2004-2024)
Jiacheng Zhang1, Hainan Zhu1, Hengzhen Wu2
1Department of Rehabilitation, Wenzhou Ouhai District Third People's Hospital, Wenzhou, China.
Frontiers in neurology
|September 15, 2025
概括
在缺血性中风的放射学研究正在迅速扩大,由机器学习和先进的成像驱动. 这项分析绘制了它的演变图,突出了改善患者结果的关键趋势和挑战.
科学领域:
- 医学成像分析 医学成像分析
- 机器学习在医学中的应用
- 神经学和中风研究 神经学和中风研究
背景情况:
- 缺血性中风在诊断,治疗和预后方面给全球健康带来了重大挑战.
- 放射学,使用机器学习进行高维成像特征提取,在缺血性中风研究中显示出前途.
- 需要进行系统的文献分析来综合快速增长的关于缺血性中风放射学的文献.
研究的目的:
- 对缺血性中风放射学研究进行视觉图书识别分析.
- 绘制研究趋势的演变图,并确定该领域的新兴热点.
- 了解缺血性中风放射学方面的技术进步和合作.
主要方法:
- 从2004年到2024年对出版物的图书统计和视觉分析.
- 使用CiteSpace和VOSviewer等分析工具.
- 探讨了出版趋势,研究热点,技术进步和合作.
主要成果:
- 自2014年以来,缺血性中风放射学研究的指数增长,其中中国和美国的重要贡献.
- 专注于使用CT和MRI的急性缺血性中风 (AIS),广泛应用深度学习模型进行细分和预后.
- 在标准化成像协议,促进跨学科合作和临床翻译方面发现了持续存在的挑战.
结论:
- 放射学正在通过详细的成像分析和数据驱动的决策来彻底改变缺血性中风研究.
- 未来的研究应该专注于标准化,多中心合作,并将放射学与临床/分子生物标志物的整合.
- 这些努力将加速临床采用,并改善缺血性中风护理患者的治疗结果.
关键词:
在CiteSpace中使用CiteSpace.在VOSviewer中使用VOSviewer.文献计量数据库 (bibliometrics) 是一个缺血性中风 中风无线电学 (radiomics) 是一种无线电学.视觉化的可视化更多相关视频
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