持续咳监测的价值:一个叙述性回顾
Mindaugas Galvosas1, Peter M Small1,2
1Research and Development Department, Hyfe Inc., Wilmington, DE, USA.
Journal of thoracic disease
|December 11, 2025
概括
持续咳监测 (CCM) 使用人工智能 (AI) 来量化咳,为各种疾病提供新的见解并改善患者护理. 这项技术有助于早期检测和临床试验终点.
科学领域:
- 数字健康数字健康
- 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:
- 咳是一个重要的症状,在精确的健康中往往无法量化.
- 声学人工智能 (AI) 的进展使持续咳监测 (CCM) 成为可能.
- CCM提供被动,保护隐私和可重复的咳测量.
研究的目的:
- 批判性地评估CCM使用案例的证据.
- 确定CCM的未来研究方向和临床采用策略.
- 审查各种疾病中CCM的见解.
主要方法:
- 对使用CCM的研究进行文献综述.
- 总结跨不同疾病的CCM洞察力.
- 讨论未来的研究和临床应用.
主要成果:
- CCM提供了对慢性咳,COPD,支气管死,心力衰竭和GERD等疾病的新见解.
- CCM量化了咳负担,变化,日间模式,并将主观/客观措施关联起来.
- CCM已经证明了日常生活中的个人咳模式.
结论:
- 人工智能支持的CCM是咳研究的一个变革性工具.
- CCM提高了患者的护理和对咳作为生理信号的理解.
- CCM支持早期疾病检测,临床试验终点和综合征监测.
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