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人工智能在肺部疾病中的全球研究格局:科学度研究

Meng Zeng¹, XianQi Wang¹, Wei Chen¹

¹Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China.

|June 3, 2024

概括

肺部疾病研究中的人工智能 (AI) 正在迅速扩大,自2017年以来有显著增长. 未来的研究应该整合用于肺部疾病诊断和治疗的先进AI模型的多式联络数据.

科学领域:

图书统计学分析
医学中的人工智能.
肺部病理学肺部病理学

背景情况:

人工智能 (AI) 在肺部疾病研究中的应用最近激增.
肺部疾病的诊断和治疗越来越多地利用人工智能技术.
人工智能驱动的肺病研究取得了重大进展.

研究的目的:

在肺部疾病中对人工智能 (AI) 应用进行全面的文献分析.
了解当前的情况,并识别AI相关的肺病研究的新兴趋势.
提供对全球研究成果和重点领域的见解.

主要方法:

来自Web of Science核心集合的5210个出版物的图书法分析.
使用Citespace,VOS浏览器和Excel来分析共同作者,共同引用和关键字的共同出现.
审查的作者,关键词,国家/地区,参考文献和机构.

主要成果:

自2017年以来观察到的人工智能和肺部疾病出版物的爆炸性增长.
中国和美国在出版量方面处于领先地位.
关键的研究领域包括深度学习,卷积神经网络,肺癌和放射学,放射学作为一个高度共同引用的期刊.

结论:

基于人工智能的肺病诊断和治疗是一个重要的研究热点.
未来的研究应该集中在综合临床,成像和实验室数据的多式人工智能模型上.
建议开发国际肺病数据库和人工智能驱动的差异诊断模型.

关键词:

人工智能 (AI) 是一种人工智能.图书统计学分析城市空间 (Citespace) 是一个城市空间.肺部疾病是一种肺部疾病.在VOSviewer中使用VOSviewer.

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