Clarity, Context, and Clinical Insight: The Future of Electrogram Intelligence Powered by CathVision-Clarity, Context, and Clinical Insight: The Future of Electrogram Intelligence Powered by CathVision

Clarity, Context, and Clinical Insight: The Future of Electrogram Intelligence Powered by CathVision

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Video Summary

The session on the future of ECG electrogramming intelligence featured electrophysiologists discussing advances and needs in recording systems. They highlighted that despite progress in mapping and catheter technologies, recording systems have stagnated for decades, with little improvement in signal quality. High-quality electrograms, better organization, and integration with AI are essential to unlock latent clinical insights, particularly in complex arrhythmias like atrial tachycardia and ventricular tachycardia. AI can aid in automating signal interpretation, entrainment analysis, and differentiating local from far-field signals, but requires high-quality data and contextual information, including precise localization. Experts discussed current challenges such as noisy signals, data export limitations, and lack of integration between recording and mapping systems. They emphasized the potential of combining electrogram data with clinical outcomes to improve patient-specific arrhythmia treatment and pacing strategies, especially conduction system pacing. Future wishes include capabilities for automated PVC templating, comprehensive multi-rhythm mapping, real-time feedback during pacing, and improved synchronization with mapping systems. There is enthusiasm for AI-driven tools that can analyze complex signal patterns, assist lesion assessment, and provide objective support during ablation and pacing procedures. Overall, the panel concluded that though early in development, advances in electrogram recording, AI analytics, and system integration promise to transform arrhythmia management and clinical electrophysiology practice.

Keywords

ECG electrogramming

electrophysiology

recording systems

AI integration

arrhythmia mapping

signal quality

clinical electrophysiology

conduction system pacing