Area of research
Cardiology and Cardiovascular Medicine
Research interest
Research focused on Atrial fibrillation and Cardiology, with related work in Ablation, Repolarization, Context (archaeology). Notable publications include 'Abstract 16401: Optimizing ChatGPT to Detect VT Recurrence From Complex Medical Notes', 'Abstract 4370248: Novel Foundation Models for Detecting and Generating Text Reports of Atrial Fibrillation from 12-lead ECGs in a Large Registry', and 'VENTRICULAR TACHYCARDIA PREDICTS ATRIAL FIBRILLATION RECURRENCE POST ABLATION: A PROPENSITY SCORE-MATCHED ANALYSIS OF A LARGE PROSPECTIVE STUDY'.
Abstract 4370248: Novel Foundation Models for Detecting and Generating Text Reports of Atrial Fibrillation from 12-lead ECGs in a Large Registry
Abstract 16401: Optimizing ChatGPT to Detect VT Recurrence From Complex Medical Notes
VENTRICULAR TACHYCARDIA PREDICTS ATRIAL FIBRILLATION RECURRENCE POST ABLATION: A PROPENSITY SCORE-MATCHED ANALYSIS OF A LARGE PROSPECTIVE STUDY
Abstract 17861: Separating Patients With Long-Term Success versus Acute Response From Atrial Fibrillation Ablation Using Explainable Machine Learning
Abstract 11648: ECG-Derived Features Enable Prediction of Sudden Death in Ischemic Cardiomyopathy
Abstract 12117: Machine Learning to Probe Variability in Patient Outcomes After Atrial Fibrillation Ablation - The Stanford AF Registry (start)
Abstract 11651: Machine Learning of Action Potential Shape to Define Refractory Periods in Ischemiccardiomyopathy
Abstract 14115: Multivariate Predictors of Long-Term Outcome From Ventricular Tachycardia Ablation in a Large Registry