基于人工智能的心房颤动筛查与管理的研究进展
Research progress of artificial intelligence-based screening and management of atrial fibrillation
王芳丽 1穆耶赛尔·麦麦提明 1冯艳1
作者信息
- 1. 830001 新疆乌鲁木齐,新疆维吾尔自治区人民医院心脏及泛血管医学诊疗中心心电学科
- 折叠
摘要
心房颤动(简称房颤)是最常见的心律失常之一,具有隐匿性、阵发性、复杂性、高致死致残率等特点,且患病率呈上升趋势.传统的房颤筛查方法具有局限性,而新出现的人工智能技术在房颤的筛查、诊断、预测方面展现出独特的优势和广阔的应用前景.在房颤筛查中智能可穿戴设备具有较好的可行性、特异性和敏感性,而且在临床应用中具有较高的成本效益.
Abstract
Atrial fibrillation(AF)is one of the most common arrhythmias.It is characterized by concealment,paroxysmal nature,complexity,and high mortality and disability rate;the prevalence rate of AF is on the rise.The new emergence of artificial intelligence technology breaks through the limitations of traditional methods of AF screening,showing unique advantages and broad application prospects in the screening,diagnosis and prediction of AF.Intelligent wearable devices have higher feasibility,specificity and sensitivity in the screening of AF,with high cost-effectiveness in clinical application.
关键词
心房颤动/人工智能/可穿戴设备/筛查Key words
atrial fibrillation/artificial intelligence/wearable device/screening引用本文复制引用
基金项目
新疆区域胸痛中心无创心电网络系统协同救治信息管理平台开发与应用项目(2021E02051)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据