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从1997年到2024年在心声回声学中研究人工智能的全球研究格局:图书识别分析

Leichong Chen^1,2,3, Wenwen Chen^1,2,3, Ye Zhu^1,2,3

¹Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

|July 3, 2025

概括

心声回声学中的人工智能 (AI) 正在迅速扩大,自2020年以来出版物大幅增加. 关键的研究领域包括图像细分,心力衰竭和深度学习,突显了该领域不断增长的潜力.

科学领域:

医疗成像医学成像
人工智能的人工智能
心脏病学心脏病学

背景情况:

人工智能 (AI) 越来越多地被整合到医学成像中.
人工智能驱动的心声回声研究正在获得引力.
需要对人工智能驱动心声谱的全球研究趋势进行全面分析.

研究的目的:

系统地探索当前的研究热点在人工智能驱动的心声回声学.
为未来的研究方向提供数据支持和学术见解.
分析全球研究趋势和人工智能驱动心声回声学的关键发展.

主要方法:

对从1997年到2024年的文章进行了文献计量分析.
数据来源于科学网络核心集合的数据.
使用VOSviewer和CiteSpace软件进行可视化和分析.

主要成果:

发表了605份文件,自2020年以来呈指数增长.
美国在出版物和引用方面处于领先地位;斯坦福大学是最受引用的机构.
关键的研究热点包括图像细分,心力衰竭,深度学习和肺高血压.

结论:

心声回声学中的人工智能是一个勃发展的领域,具有显著的未来前景.
国际跨学科合作对于推进研究至关重要.
未来的研究应该专注于多式联运大型语言模型和改进模型的可解释性.

关键词:

人工智能的人工智能是人工智能.在CiteSpace中使用CiteSpace.在VOSviewer中使用VOSviewer.文献计量分析的分析超声心电图 (Echocardiography) 是一种心声回声仪.

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