EP is at the forefront of technological innovation—but it also faces mounting challenges: increasing case complexity, workforce shortages, procedural inefficiencies, and the need for better predictive tools to guide therapy. AI offers the potential to address these headwinds by improving procedural planning, streamlining workflows, optimizing outcomes, and transforming the EP lab into a more intelligent, adaptive environment.
In this dynamic roundtable, thought leaders from across clinical practice, data science, and medtech will explore how AI can be thoughtfully applied to tackle real-world obstacles in EP. Through interactive discussion and illustrative case examples, this session will examine current barriers to adoption, regulatory and ethical considerations, and the importance of data infrastructure to enable AI solutions that are accurate, scalable, and clinically meaningful.