Henry Huang is a Senior Professor at Rush University specializing in cardiology and cardiac electrophysiology. His research focuses on atrial fibrillation, pulmonary vein isolation, ventricular fibrillation ablation, and cardiovascular interventions, with particular emphasis on Purkinje de-networking for arrhythmia recurrence reduction. He has pioneered the use of convolutional neural networks for real-time localization of ganglionated plexi from bipolar intracardiac electrograms, and has published on cardioneuroablation for ictal asystole, aortic cusp ablation safety, and remote monitoring device triage in venues including JACC: Clinical Electrophysiology, Heart Rhythm, and the Journal of Interventional Cardiac Electrophysiology. His work integrates electrophysiological evaluation with advanced medical device applications to improve outcomes in complex arrhythmia management.
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