Meta-learning based Active Learning Approach for Computer-Assisted Pace-Mapping

Abstract

Ventricular tachycardia (VT) is a major cause of sudden cardiac deaths, treated with catheter ablation that targets and destroys the tissue responsible for initiating or sustaining VT. Pace-mapping is a key practice for identifying ablation targets by matching stimulated sites’ ECG to the observed clinical VT. An AI-assisted pace-mapping approach can help clinicians identify the most likely target sites, reducing procedure time and increasing the success rate.

Pradeep Bajracharya

PhD Student in Machine Learning

My primary research focus is on Deep Active Learning and its application with Deep Learning on Medical Imaging.