慢性阻塞性肺病中的人工智能:研究现状,趋势和未来方向 - 从2009年到2023年的图书识别分析
Hupo Bian1, Shaoqi Zhu2, Yonghua Zhang3
1Department of Radiology, The First Affiliated Hospital of Huzhou Normal University, Huzhou, Zhejiang, People's Republic of China.
International journal of chronic obstructive pulmonary disease
|August 26, 2024
概括
人工智能 (AI) 越来越多地用于慢性阻塞性肺病 (COPD) 研究,特别是用于诊断和治疗. 这项对646篇论文的分析揭示了AI.
科学领域:
- 医疗信息学 医疗信息学
- 肺部病理学 肺部病理学
- 人工智能的人工智能
背景情况:
- 在慢性阻塞性肺病 (COPD) 研究中对人工智能 (AI) 应用的图书统计分析.
- 审查了2009年至2023年间发表的研究.
研究的目的:
- 分析COPD人工智能利用的趋势,关键参与者和研究热点.
- 为人工智能和COPD的未来研究方向提供见解.
主要方法:
- 科学网络 (WOS) 核心收集数据集搜索 (2009-2023年).
- 使用VOSviewer和CiteSpace.Space进行图书统计分析.
- 使用Excel 2021进行描述性分析.
主要成果:
- 确定了646篇论文,自2018年以来大幅增长.
- 美国在出版方面领先;哈佛医学院和Silverman Edwin K是顶级机构/作者.
- 关键的研究领域包括人工智能辅助成像,诊断,治疗和预后预测,新兴的重点是可解释的人工智能,胸部CT和放射学.
结论:
- 人工智能主要用于遗传生物学,早期诊断,风险分期,疗效评估和COPD的预测建模.
- 这项研究提供了新的见解和未来的研究方向,用于COPD的AI.
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