Area of research
Cardiology and Cardiovascular Medicine
Research interest
Research interests include Atrial Fibrillation Management and Outcomes, Cardiac Arrhythmias and Treatments, Cardiac electrophysiology and arrhythmias, and Cardiac pacing and defibrillation studies.
Abstract 4370718: Transformer-based ECG beat foundation model reconstructs full 12-Lead morphology, vectorcardiogram and predicts peak heart rate in stress ECG
Abstract 4371591: Automated End-to-End Framework for Extracting Raw ECG Waveforms and ST Segment Values from ECG Reports and Predicting ST Elevation by Machine Learning
Abstract 4358583: Non-Contact Magnetocardiography Localizes Atrial Foci as Accurately as High-Resolution Contact ECG
2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation
2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation
2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation
2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation
Cardioneuroablation for the management of patients with recurrent vasovagal syncope and symptomatic bradyarrhythmias: the CNA-FWRD Registry
Spatially Conserved Spiral Wave Activity During Human Atrial Fibrillation
Abstract 4143513: ECG-AI to Assist with the Classification of Low Ejection Fraction and Heart Failure with Preserved Ejection Fraction
Abstract 4141960: Quality of Life Outcomes after the Dual Epicardial&Endocardial Procedure Approach for Treatment of Non-Paroxysmal Atrial Fibrillation
Abstract 4146553: Efficacy and Safety of Catheter Ablation in Patients with Hematologic Malignancies
Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography
Abstract 16401: Optimizing ChatGPT to Detect VT Recurrence From Complex Medical Notes
Abstract 15606: Effectiveness and Safety of the Dual Epicardial & Endocardial Procedure (DEEP) Approach for Treatment of Subjects With Persistent or Long Standing Persistent Atrial Fibrillation (PersAF/LSPAF) With Radiofrequency Ablation
OBSTRUCTIVE SLEEP APNEA PORTENDS STROKE IN YOUNG INDIVIDUALS WITHOUT ATRIAL FIBRILLATION: A LARGE REGISTRY STUDY
Abstract 18390: Ibrutinib Increases Ventricular Arrhythmia Burden Independently of Atrial Arrhythmia
Abstract 17845: Logic-Based Natural Language Processing Identifies VT Recurrence in the Electronic Health Record
Contemporary trends in cardiac electrophysiology procedures in the United States, and impact of a global pandemic
Randomized Clinical Trial to Evaluate an Atrial Fibrillation Stroke Prevention Shared Decision‐Making Pathway
Tyrosine kinase inhibitor–associated ventricular arrhythmias: a case series and review of literature
Stochastic Termination of Spiral Wave Dynamics in Cardiac Tissue
Abstract 12117: Machine Learning to Probe Variability in Patient Outcomes After Atrial Fibrillation Ablation - The Stanford AF Registry (start)
Abstract 15924: Intelligent Machine Learning Fusion Framework Predicts Atrial Fibrillation Ablation Outcomes With Demographic, Morphological, and Imaging Features
Abstract 14115: Multivariate Predictors of Long-Term Outcome From Ventricular Tachycardia Ablation in a Large Registry
Abstract 13833: Arrhythmia Patterns in Patients Managed With and Without Tyrosine Kinase Inhibitors
Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management
Electrical Substrate Ablation for Refractory Ventricular Fibrillation
IDENTIFICATION OF AREAS OF ORGANIZED 1:1 ACTIVITY IN ATRIAL FIBRILLATION IN PATIENTS POST MAZE SURGERY
Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation