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Artificial intelligence (AI) is revolutionizing the healthcare industry through advanced data analysis, pattern recognition, and decision support, with promising applications in cardiovascular electrophysiology. Cardiovascular electrophysiology focuses on the diagnosis and treatment of cardiac arrhythmias through electrocardiogram interpretation, electro-anatomic mapping, and catheter ablation.This narrative review analyzes the most recent evidence on the use of AI in the field of cardiovascular electrophysiology. The goal is to evaluate the influence of AI on arrhythmia diagnosis and various aspects of procedures in this field. These include procedural guidance, efficiency, safety, and long-term outcomes.Selected studies were chosen qualitatively to evaluate the use of AI in procedures such as ECG/electrograms analysis and ablation targeting. They also analyze the role of AI in real-time decision support and monitoring devices. The studies in this paper include randomized controlled trials and observational analyses.Our analysis showed that AI-assisted approaches consistently outperformed conventional counterparts. They achieved superior arrhythmia-free survival in persistent atrial fibrillation and reduced procedural times and fluoroscopy. The use of AI increased diagnostic accuracy and improved clinical decision-making. The benefits of AI in cardiovascular electrophysiology were most pronounced in cases of complex atrial fibrillation and ventricular tachycardia.