In this interview, Dr Arun Sridhar discusses the evolving role of artificial intelligence (AI) and computational modeling in advancing atrial fibrillation (AF) care. He explains that AI currently provides the greatest value in analyzing large volumes of wearable and mobile health data to improve AF screening, diagnosis, and patient management before and after ablation, while invasive AI-guided mapping technologies continue to undergo clinical validation. Dr Sridhar also highlights the promise of emerging tools such as wave-tracking algorithms and real-time mapping to identify non-pulmonary vein triggers and AF drivers. Looking ahead, he describes digital twin technology and patient-specific computational modeling as exciting innovations that could enable physicians to pre-plan ablation strategies and better select catheters and procedural tools.