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阻塞性睡眠呼吸暂停诊断和人工智能查方面的进展:系统性审查

Lucrezia Giorgi¹, Domiziana Nardelli², Antonio Moffa^1,2

¹Integrated Therapies in Otolaryngology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy.

Healthcare (Basel, Switzerland)

|January 25, 2025

概括

人工智能 (AI) 在诊断阻塞性睡眠呼吸暂停 (OSA) 中表现有前途,为传统方法提供了更容易获得的替代方案. 这篇评论强调了人工智能.

科学领域:

医疗信息学医疗信息学
生物医学工程生物医学工程
人工智能在医学中的应用

背景情况:

阻塞性睡眠呼吸暂停 (OSA) 是一种广泛存在的疾病,带来了大量的医疗费用,由于传统的多睡眠学 (PSG) 的难以使用,经常被诊断不足.
人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),为OSA查和诊断提供了创新的解决方案.
本系统性审查侧重于过去十年来用于OSA检测的AI驱动模型.

研究的目的:

系统地审查和评估人工智能驱动模型在查和诊断阻塞性睡眠呼吸暂停 (OSA) 中的有效性.
评估AI在提高OSA诊断的可访问性和准确性方面的潜力,与传统方法相比.

主要方法:

在PubMed/MEDLINE,Google Scholar和SCOPUS数据库中进行了全面的文献搜索.
包括的研究是原始的英语文章,详细介绍了ML算法用于OSA诊断和预测疑似患者的使用.
系统性审查已在PROSPERO注册 (注册ID:CRD42024563059),最后一次搜索是在2024年6月.

主要成果:

65项研究,包括来自109,046名患者的数据,符合纳入标准.
人工智能算法在OSA检测方面表现出卓越的性能,在准确性,灵敏性和特异性方面经常超过传统工具.
人类指数,特别是在后勤回归模型中,是最常用的特征.

结论:

人工智能应用具有显著的潜力,可以提高OSA诊断和查,从而改善患者的治疗结果和减少医疗负担.
数据集的标准化和严格的验证对于人工智能工具在OSA管理中的广泛采用和可靠性至关重要.

关键词:

在OSA中使用OSA.人工智能的人工智能是人工智能.诊断诊断诊断诊断诊断诊断查检查查检查查检查查检查

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