cAPM: Continual AI-Assisted Pace-Mapping with Active Learning
Researchers have developed cAPM, a novel continual learning AI model designed to improve the efficiency of pace-mapping for ventricular tachycardia (VT) ablation. This AI system learns from past pace-mapping data to guide clinicians to the most informative pacing sites, significantly reducing the number of sites needed. In silico tests showed cAPM achieved an 81% probability of accurate localization with an average of 4.5 pacing sites, a substantial improvement over existing methods. AI
IMPACT This AI model could streamline cardiac ablation procedures, potentially reducing patient recovery times and improving outcomes.