一个基于智能手机的应用程序来计算急性喘恶化患者的咳
Ji-Su Shim1, Byung-Keun Kim2, Sae-Hoon Kim3
1Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Republic of Korea.
Journal of thoracic disease
|August 10, 2023
概括
一个由人工智能驱动的智能手机应用程序准确地计算了喘患者的咳,与人类专家的相关性很好. 这种工具在临床实践中显示出客观咳监测的前景.
科学领域:
- 数字健康数字健康
- 人工智能在医学中的应用
- 呼吸系统医学 呼吸系统医学
背景情况:
- 在临床实践中缺乏客观的咳测量工具.
- 一个基于人工智能 (AI) 的系统通过智能手机应用程序量化咳声音.
- 这种AI算法在急性喘恶化患者中进行了前性研究.
研究的目的:
- 评估基于人工智能的咳计数算法在真实世界喘患者中的有效性.
- 评估AI衍生的咳数量与临床参数之间的相关性.
- 确定智能手机应用程序对客观咳监测的潜力.
主要方法:
- 患有急性喘恶化的患者使用CoughyTM智能手机应用程序记录咳声音7天.
- 人工智能算法和人类专家计算了咳;患者自行测量了峰值呼吸道流量率 (PEFR).
- 分析了AI咳计数和各种结果评估 (CS-VAS,睡眠/清醒频率,萨尔布塔摩尔使用) 之间的相关性.
主要成果:
- 人工智能咳计数与睡眠 (rho=0.908) 和清醒时间 (rho=0.847) 的手动计数有很强的相关性.
- 睡眠咳的数量与CS-VAS,夜间唤醒和夜间萨尔布塔摩尔使用有中度至强烈的相关性.
- 清醒时咳的数量显示与CS-VAS,活动限制和白天萨尔布塔摩尔的使用有微弱到中等的相关性;与PEFR没有显著的相关性.
结论:
- 人工智能算法证明了对客观监测喘患者急性恶化咳的有效性.
- 人工智能和人类咳计数之间的强烈一致支持其临床实用性.
- CoughyTM应用程序提供了一个新的解决方案,用于在临床环境中客观地监测咳.
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