使用人工智能来推进儿童感染预防和控制
Thomas S Murray1,2, Morgan Quan3, Michael Aniskiewicz2
1Department of Pediatrics, Yale University School of Medicine.
Current opinion in pediatrics
|January 22, 2026
概括
人工智能 (AI) 可以帮助社区和医院的感染预防和控制. 然而,需要对人工智能进行更多研究.
科学领域:
- 预防和控制感染的预防和控制.
- 人工智能应用程序 人工智能应用程序
- 儿科医疗保健 儿科医疗保健
背景情况:
- 人工智能 (AI) 显示出感染预防和控制 (IP&C) 的前景.
- 目前IP&C中的大多数AI应用都专注于成年人群.
- 儿科患者群体需要在IP&C中对AI实施采取具体考虑.
研究的目的:
- 审查人工智能在增强儿童群体IP&C方面的潜力.
- 确定人工智能在儿科IP&C当前的应用和局限性.
- 探索AI在儿童社区和医疗保健环境中的作用.
主要方法:
- 对人工智能在感染预防和控制中的应用进行文献综述.
- 探索AI在社区和医疗保健环境中对儿科患者群体的实用性.
- 对现有数据的分析和限制的识别.
主要成果:
- 人工智能可以教育家庭,检测疫情,并在社区预先选患者.
- 人工智能有助于识别与医疗相关的感染 (HAI) 和监测的风险患者.
- 局限性包括数据偏差和缺乏不同儿科组的前性验证研究.
结论:
- 人工智能在儿科环境中提供了作为感染识别和控制工具的巨大潜力.
- 进一步的前性研究对于验证为儿科IP&C开发的AI工具至关重要.
- 解决儿科人口中的数据偏差和异质性对于有效的AI部署至关重要.
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