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相关概念视频

Sleep Apnea01:21

Sleep Apnea

120
Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
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Mechanical Ventilation III: Noninvasive Ventilation01:23

Mechanical Ventilation III: Noninvasive Ventilation

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Noninvasive positive-pressure ventilation (NIPPV), continuous positive airway pressure (CPAP), and bilevel positive airway pressure (BiPAP) are essential methods in respiratory care. These ventilation techniques offer unique benefits for patients with various respiratory conditions, providing adequate support without requiring intubation. Let's explore how each method is crucial in improving patient outcomes and enhancing respiratory therapy.
Noninvasive Positive-Pressure Ventilation...
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相关实验视频

Updated: May 20, 2025

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
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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
PubMed
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.

关键词:
人工智能的人工智能是人工智能.文献计量分析的分析深度学习是一种深度学习.机器学习是机器学习.阻塞性睡眠呼吸暂停 (SOP) 的情况.

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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.