Innovation Summit Section 1: Innovation in Cardiac Mapping-Innovation Summit Section 1: Innovation in Cardiac Mapping

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The panel discussion explored cutting-edge innovations in cardiac mapping and ablation, highlighting various AI-guided and imaging technologies. Jérôme Khalifa presented Volta Medical’s AI-guided intracardiac mapping that analyzes electrograms through bipolar neighborhood analysis, enabling detailed and iterative data collection validated by clinical trials showing improved atrial fibrillation outcomes. Dr. Devi Nair emphasized integrating high-density mapping with contact and stability assessment, exemplified by the FDA-approved Cardium system, which uses temperature-based contact sensing for precise pulsed field ablation lesions, enhancing lesion quality and reproducibility.<br /><br />John Puccini introduced hyperspectral optical mapping that visualizes myocardial metabolic activity in real time for better lesion assessment, distinguishing reversible injury from permanent damage, especially valuable in pulsed field ablation. Philipp Heuser discussed electrographic flow mapping, utilizing AI to analyze unipolar electrograms and identify atrial fibrillation sources, improving outcomes in redo procedures through targeted ablation.<br /><br />Sanjeev Narayan highlighted machine-learning approaches for real-time wave tracking to guide catheter movement and locate arrhythmia sources without extensive mapping, simplifying complex procedures. Usha Tedro presented challenges in mapping intramural foci in ventricular tachycardia, using frequency analysis and imaging to identify hidden substrates within the myocardium.<br /><br />Finally, Dr. Fedoro showcased advanced neophoretic optical mapping combined with high-resolution MRI and machine learning to identify atrial fibrillation driver substrates across the atrial wall, enabling targeted ablation informed by integrated 3D imaging. Collectively, these innovations represent a transformative shift toward precise, data-driven cardiac electrophysiology through AI, imaging, and integrated mapping technologies.

Keywords

cardiac mapping

AI-guided ablation

intracardiac electrogram analysis

high-density mapping

pulsed field ablation

hyperspectral optical mapping

machine learning in electrophysiology

3D imaging for atrial fibrillation