人工智能和可穿戴设备在儿科临床护理中的整合:一篇评论
Huili Zheng1,2, Pragya Sharma1,3, Matthew Johnson1,2
1Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Bioengineering (Basel, Switzerland)
|December 30, 2025
概括
儿科可穿戴设备为早期疾病检测提供了有希望的持续监测. 然而,设计,监管和公平获取方面的挑战阻碍了它们的广泛临床采用,以改善儿童健康结果.
科学领域:
- 数字健康数字健康
- 生物医学工程 生物医学工程
- 儿科医学 儿科医学 儿科医学
背景情况:
- 可穿戴设备越来越多地用于持续的,非侵入性的健康监测.
- 与成人人口相比,这些技术的儿科应用尚未得到充分探索.
研究的目的:
- 审查2014年至2025年间发表的关于儿科可穿戴设备的临床研究.
- 综合关于儿童医疗保健中的设备类型,应用和挑战的发现.
主要方法:
- 36项临床研究的系统审查.
- 对捕获生理信号 (心电图,PPG,加速计) 的可穿戴设备的分析.
- 临床应用和人工智能 (AI) 集成的评估.
主要成果:
- 可穿戴设备在早期检测诸如败血症等疾病方面表现得非常准确.
- 大多数研究都是小型试点,重点关注可行性和信号有效性,而不是临床结果.
- 障碍包括设备设计,信号质量,监管障碍和公平访问.
结论:
- 儿科可穿戴设备具有潜力,但在临床转化方面面临重大障碍.
- 未来的研究需要多中心试验,多模式数据,可解释的人工智能和工作流集成.
- 解决伦理和监管方面的问题对于广泛采用和改善儿科护理至关重要.
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