Artificial intelligence in the diagnosis and management of arrhythmias.
Artificial intelligence in the diagnosis and management of arrhythmias.
复制标题
心律失常的诊断和管理中的人工智能
DOI：
10.1093/eurheartj/ehab544
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发表时间：
2021-10-07
影响因子：
39.3
通讯作者：
Ernst S
中科院分区：
文献类型：
--
作者：
Nagarajan VD;Lee SL;Robertus JL;Nienaber CA;Trayanova NA;Ernst S
心脏电生理学（EP）领域采用简单的人工智能（AI）方法已有数十年。近期对深度学习技术重新燃起的兴趣为心电图分析开辟了新的前沿领域，包括疾病状态的特征识别。人工智能的进步，加上计算能力、传感器技术的同步快速发展以及基于网络平台的可用性，使得人工智能辅助应用和大数据研究迅速增长。随着物联网概念的扩展和电信技术的进步，生活方式的改变为基于人群的心房颤动检测开辟了以前无法想象的途径。人工智能辅助的3D心脏成像技术的进步预示着虚拟心脏和心律失常模拟的概念。机器人技术、完全无创消融治疗以及扩展现实的概念有望彻底改变电生理学的未来。在这篇综述中，我们讨论了人工智能以及近期技术进步在心律失常治疗各个方面的影响。
人工智能增强的心律失常治疗
The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI) methodologies for decades. Recent renewed interest in deep learning techniques has opened new frontiers in electrocardiography analysis including signature identification of diseased states. Artificial intelligence advances coupled with simultaneous rapid growth in computational power, sensor technology, and availability of web-based platforms have seen the rapid growth of AI-aided applications and big data research. Changing lifestyles with an expansion of the concept of internet of things and advancements in telecommunication technology have opened doors to population-based detection of atrial fibrillation in ways, which were previously unimaginable. Artificial intelligence-aided advances in 3D cardiac imaging heralded the concept of virtual hearts and the simulation of cardiac arrhythmias. Robotics, completely non-invasive ablation therapy, and the concept of extended realities show promise to revolutionize the future of EP. In this review, we discuss the impact of AI and recent technological advances in all aspects of arrhythmia care. Artificial intelligence-enhanced arrhythmia care.
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影响因子：
8.4
作者：
Ernst, Sabine;Babu-Narayan, Sonya V.;Gatzoulis, Michael A.
通讯作者：
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影响因子：
168.9
作者：
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作者：
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通讯作者：
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DOI：
10.1007/s10840-005-0325-y
发表时间：
2005-04-01
影响因子：
1.8
作者：
Al-Ahmad, A;Grossman, JD;Wang, PJ
通讯作者：
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