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用人工智能驱动的可穿戴传感器用于手术患者的术后监测:系统性审查
Muhammad Mohsin Khan1, Noman Shah1
1Neurosurgery Department, Hamad General Hospital, Doha, Qatar.
Computers in biology and medicine
|July 18, 2025
概括
使用可穿戴技术的人工智能 (AI) 通过早期检测并发症来改善术后患者监测. 这种人工智能增强的方法减少了住院和重症监护室停留时间.
科学领域:
- 生物医学工程 生物医学工程
- 人工智能的人工智能
- 外科手术患者管理
背景情况:
- 传统的生命体征监测常常错过了患者病情恶化的早期迹象.
- 与人工智能 (AI) 集成的可穿戴技术提供先进的术后监测解决方案.
- 人工智能和可穿戴设备可以帮助减少缺氧,感染,出血和器官衰竭等并发症.
研究的目的:
- 系统地审查有关人工智能集成可穿戴技术的文献,用于术后患者管理.
- 评估人工智能增强的可穿戴设备在检测早期临床恶化和减少并发症方面的有效性.
主要方法:
- 对2000年至2024年间发表的英语文章进行系统审查.
- 4篇全文文章的选择和质量评估.
主要成果:
- 人工智能增强的可穿戴设备,包括生物传感器和智能手表,在早期诊断缺氧,心律失常和血液动力学问题方面表现出色.
- 基于人工智能的连续远程预警评分系统显示,入院率和重症监护室 (ICU) 停留时间减少.
- 可穿戴设备是有效的神经和重要参数监测,预测并发症,如发作.
结论:
- 人工智能增强的可穿戴传感器对于早期的术后生命信号异常检测非常有价值.
- 可穿戴设备在早期的术后期显示出舒适性和服从性.
- 在资源有限的环境中,人工智能驱动的可穿戴设备对于患者监测和并发症预测非常有用.
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