人工智能和儿童喘息:我们现在在哪里?
Laura Venditto1,2, Sonia Morano2, Michele Piazza2
1Cystic Fibrosis Center of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy.
Frontiers in medicine
|September 11, 2024
概括
人工智能 (AI) 和机器学习 (ML) 提供了管理儿童喘息的新方法. 这些技术有助于早期识别,风险评估和预测学龄前儿童的喘,改善护理并降低成本.
科学领域:
- 儿科肺病学和过敏学
- 医疗保健中的人工智能
- 机器学习应用 机器学习应用
背景情况:
- 经常性喘息影响到三分之一的学龄前儿童,影响生活质量和医疗保健资源.
- 由于COVID-19大流行,医疗保健工作量增加,医院接入减少.
- 对于治疗儿童呼吸道疾病的创新解决方案的需求日益增长.
研究的目的:
- 审查人工智能 (AI) 应用在儿童喘息方面的最新进展.
- 总结AI/ML在喘息识别,诊断,表型和喘预测方面的证据.
- 提供人工智能驱动的家庭监控和远程管理策略的概述.
主要方法:
- 关于人工智能和机器学习 (ML) 在儿科喘息中的当前文献的综述.
- 对人工智能应用程序的分析,包括人工智能增强式耳语镜和智能手机监控.
- 讨论ML算法用于喘息表型和喘预测.
主要成果:
- 人工智能和机器学习越来越多地用于疾病识别,风险分层和儿科肺病学的决策支持.
- 由人工智能驱动的工具可以提高学前喘息的早期识别和监测.
- 机器学习算法在喘息表型和预测幼儿喘发育方面表现有前途.
结论:
- 人工智能和机器学习方法可以显著改善学前喘息的管理,有助于识别,诊断和预测.
- 由人工智能驱动的远程管理和家庭监控工具可以减少与儿童喘息相关的经济和社会成本.
- 对AI/ML的持续研究和应用对于推进儿科呼吸系统护理和喘预防至关重要.
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