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 ECG Monitoring and Analysis.
State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology
Hypertension and Atrial Fibrillation: A Frontier Review From the AF-SCREEN International Collaboration
Recent-onset atrial fibrillation: challenges and opportunities
Effectiveness of shared decision making strategies for stroke prevention among patients with atrial fibrillation: cluster randomized controlled trial
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
Promises and Perils of Consumer Mobile Technologies in Cardiovascular Care
Hypertrophic cardiomyopathy detection with artificial intelligence electrocardiography in international cohorts: an external validation study
Vigorous Exercise in Patients With Congenital Long QT Syndrome: Results of the Prospective, Observational, Multinational LIVE-LQTS Study
Initial Findings From the National Cardiovascular Data Registry of Atrial Fibrillation Ablation Procedures
ECG Interpretation Proficiency of Healthcare Professionals
Artificial intelligence electrocardiogram as a novel screening tool to detect a newly abnormal left ventricular ejection fraction after anthracycline-based cancer therapy
Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation
Self-administered intranasal etripamil using a symptom-prompted, repeat-dose regimen for atrioventricular-nodal-dependent supraventricular tachycardia (RAPID): a multicentre, randomised trial
Saliency maps provide insights into artificial intelligence-based electrocardiography models for detecting hypertrophic cardiomyopathy
Identification of Incident Atrial Fibrillation From Electronic Medical Records
Research Opportunities in the Treatment of Mitral Valve Prolapse
Emerging role of artificial intelligence in cardiac electrophysiology
Emulating the GRADE trial using real world data: retrospective comparative effectiveness study
Advances in Cardiac Electrophysiology
Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation
Randomized evaluation of decision support interventions for atrial fibrillation: Rationale and design of the RED-AF study
Smart Wearables for Cardiac Monitoring—Real-World Use beyond Atrial Fibrillation
World Heart Federation Roadmap on Atrial Fibrillation – A 2020 Update
External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction
Research Priorities in Atrial Fibrillation Screening
Hydroxychloroquine with or without azithromycin for treatment of early SARS-CoV-2 infection among high-risk outpatient adults: A randomized clinical trial
Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management
Shared Decision Making Tools for People Facing Stroke Prevention Strategies in Atrial Fibrillation: A Systematic Review and Environmental Scan
Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram
Cost Conversations About Anticoagulation Between Patients With Atrial Fibrillation and Their Clinicians