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AI Pace-Mapping System Uses Continual Learning to Cut Pacing Sites by 67% for Ventricular Tachycardia

Artificial Intelligence #ai#active learning

AI Pace-Mapping System Uses Continual Learning to Cut Pacing Sites by 67% for Ventricular Tachycardia

Researchers introduced cAPM, a continuous AI-assisted pace-mapping system for ventricular tachycardia ablation. Using a surrogate neural network, active learning, and continual learning, cAPM reduced required pacing sites from 13.7 to 4.5 while improving localization probability from 38% to 81% within 5 mm accuracy, compared to the state-of-the-art active-learning method.

Jun 20, 2026 1 source