阻塞性睡眠呼吸暂停中的人工智能:一个参考文献分析
Xing An1, Jie Zhou1, Qiang Xu2
1Clinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Digital health
|March 24, 2025
概括
人工智能 (AI) 越来越多地用于阻塞性睡眠呼吸暂停 (OSA) 研究,自2017年以来观察到显著增长. 未来的应用将专注于诊断,个性化治疗和管理,增强睡眠健康结果.
科学领域:
- 图书统计学分析
- 睡眠的药物 睡眠的药物
- 人工智能的人工智能是人工智能.
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 是一种普遍的疾病,需要先进的诊断和管理策略.
- 人工智能 (AI) 为了解和治疗OSA提供了新的方法.
研究的目的:
- 在OSA研究中对AI应用进行文献分析.
- 探索当前的趋势,关键贡献者,以及未来的方向在OSA的AI.
主要方法:
- 从Web of Science (2011-2024) 中对867篇文章进行了图书统计分析.
- 使用VOSviewer和Citespace可视化国家,机构,作者和关键词.
- 使用Microsoft Excel 2021进行的描述性分析.
主要成果:
- 2017年以后,出版物数量显著增加.
- 中国在出版物方面处于领先地位;瓦拉多利德大学和IEEE生物医学和健康信息学杂志是最具生产力的.
- 主导的关键词包括OSA,机器学习,心电图和深度学习.
结论:
- 人工智能,特别是深度学习,对于OSA诊断,治疗和管理至关重要.
- 未来的研究应该优先考虑国际合作和跨学科沟通.
- 人工智能的进步有望提供更精确,更方便和更个性化的睡眠健康服务.
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