作者：
Entezar Mehrabi Nasab;Saeed Sadeghian;Ali Vasheghani Farahani;Ahmad Yamini Sharif;Farzad Masoud Kabir;...
通讯作者：
Ali Bozorgi
作者机构：
Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
Department of Cardiology, School of Medicine, Valiasr Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
Department of Artificial Intelligence in Medical Sciences, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
通讯机构：
Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
语种：
英文
关键词：
Artificial intelligence,Machine learning,PVC,RF ablation
期刊：
Regenerative Therapy
ISSN：
2352-3204
年：
2024
卷：
27
页码：
32-38
基金类别：
Not Applicable.
摘要：
Ventricular arrhythmias increase cardiovascular morbidity and mortality. Recurrent PVCs and IVT are generally considered benign in the absence of structural heart abnormalities. Artificial intelligence is a rapidly growing field. In recent years, medical professionals have shown great interest in the potential use of ML, an integral part of AI, in various disciplines, including diagnostic applications, decision-making, prognostic stratification, and solving complex pathophysiological aspects of diseases from these data at extraordinary complexity, scale, and acquisition rate. The aim of this study was to design an ML model to predict the probability of PVC and IVT recurre...
