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在规模上应用自动化多睡眠学评分的挑战.

Diego Alvarez-Estevez1

  • 1Center for Information and Communications Technology Research (CITIC), Universidade da Coruña, 15071 A Coruña, Spain.

Sleep medicine clinics
|August 2, 2023
PubMed
概括

自动多睡眠图分析提供了更快,更便宜的睡眠障碍诊断. 人工智能和计算机科学的进步正在克服这个复杂领域的挑战.

科学领域:

  • 医学技术 医学技术 医学技术
  • 计算机科学 计算机科学
  • 人工智能的人工智能是人工智能.

背景情况:

  • 自动多睡眠图分析旨在提高睡眠障碍诊断效率.
  • 当前的方法在睡眠中心大规模实施时面临挑战.
  • 技术进步对于推进睡眠分析至关重要.

研究的目的:

  • 为了审查当前的自动多睡眠分析分析的现状.
  • 突出计算机科学和人工智能对睡眠障碍诊断的影响.
  • 确定未来研究和开发的机会.

主要方法:

  • 对人工智能和计算机科学近期发展的审查与多睡眠学相关.
  • 在临床工作流程中实施自动化睡眠分析策略的分析.
  • 识别持续存在的挑战和新出现的解决方案.

主要成果:

  • 自动分析可以显著减少得分时间和成本.
  • 人工智能和计算机科学的进步正在解决该领域的关键局限性.
  • 新的技术途径正在出现,用于增强睡眠分析.

结论:

关键词:
人工智能的人工智能是人工智能.自动化分析自动化分析绩效评估是指进行绩效评估.多重睡眠学术 (Polysomnography) 是一种多重睡眠学术.可扩展性面临的挑战.

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  • 自动化多睡眠学具有改善睡眠障碍诊断的巨大潜力.
  • 人工智能和计算方法的持续进步至关重要.
  • 应对实施挑战是广泛采用的关键.