Determining the recurrence rate of premature ventricular complexes and idiopathic ventricular tachycardia after radiofrequency catheter ablation with the help of designing a machine-learning model

Determining the recurrence rate of premature ventricular complexes and idiopathic ventricular tachycardia after radiofrequency catheter ablation with the help of designing a machine-learning model

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 th...

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Bibliographic Details
Main Authors: Entezar Mehrabi Nasab, Saeed Sadeghian, Ali Vasheghani Farahani, Ahmad Yamini Sharif, Farzad Masoud Kabir, Houshang Bavanpour Karvane, Ahora Zahedi, Ali Bozorgi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Regenerative Therapy
Subjects:
Artificial intelligence
PVC
RF ablation
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352320424000257

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