EHRA 2026 — Dr Jason Andrade (University of British Columbia, CA) joins us to explore how artificial intelligence is transforming risk prediction and modulation in arrhythmia management, and what this means for electrophysiology practice today and in the years ahead.

From the limitations of conventional risk stratification tools to the emerging role of AI-driven models in clinical decision-making, Dr Andrade offers an expert perspective on where the field currently stands,  and the practical, ethical, and systemic challenges that must be navigated as these technologies move into routine workflows.

Interview Questions:

1. How is AI currently being applied to arrhythmia risk prediction, and where does the field stand today compared to traditional risk stratification tools?
2. What are the key limitations of conventional risk models in arrhythmia management, and what specific gaps does AI-driven prediction look to address?
3. Which arrhythmia subtypes or patient populations do you think stand to benefit most from AI-enhanced risk modelling in the near term?
4. Risk modulation implies acting on what we predict — how should clinicians be integrating AI-derived risk scores into treatment decision-making in practice today?
5. What are the practical and ethical challenges around embedding AI prediction tools into routine electrophysiology workflows, and how do we build clinician trust in these systems?
6. Where do you see the field heading over the next five years — and what would a truly AI-integrated arrhythmia service look like in a real-world clinical setting?

Recorded on-site at EHRA 2026, Paris.

Editors: Jordan Rance
Videographer: David Ben-Harosh, Oliver Miles

Support: This is an independent interview produced by Radcliffe Cardiology.