Cardiac electrophysiology is sitting on an unprecedented volume of data from CIEDs, remote monitoring platforms, EHRs, and registries, and AI promises to transform how we make sense of it. Yet the gap between algorithmic capability and real-world clinical adoption remains stubbornly wide, and closing it demands honest conversation about data quality, equity, and operational readiness. This roundtable brings together clinicians, researchers, and industry innovators to challenge assumptions, surface blind spots, and define what it will actually take to move AI from promising to practice.
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