Cardiac arrhythmias, including ventricular tachyarrhythmias and atrial fibrillation (AF), are major contributors to global mortality, with AF alone affecting over 45 million individuals and accounting for a significant portion of ischemic stroke cases. Current treatment approaches are limited by a lack of personalization, failing to address individual variability in arrhythmia mechanisms and risk factors. Precision cardiology seeks to overcome these limitations by tailoring therapies to each patient, made possible through advances in patient-specific data acquisition, such as genetic markers and advanced imaging. Recent innovations in digital twin technology offer promising strides toward this goal by enabling the creation of detailed, virtual heart models. These models simulate individualized cardiac function, providing a platform to predict arrhythmias more accurately and to test therapeutic interventions, such as ablation, in a simulated environment. This review explores the development and application of digital twins in cardiac electrophysiology, emphasizing their potential to enhance arrhythmia management by enabling more precise, personalized treatments. With the advancement of digital twin technologies, cardiac electrophysiology is poised for transformative progress in arrhythmia care.