Area of research
Cardiology and Cardiovascular Medicine · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medicine, Cardiology, Mitral regurgitation, Internal medicine, Receiver operating characteristic, and Leverage (statistics).
Detecting structural heart disease from electrocardiograms using AI
Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-regurgitation study
PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation
Detecting Transthyretin Cardiac Amyloidosis With Artificial Intelligence
Artificial Intelligence for Cardiovascular Care—Part 1: Advances
Artificial Intelligence in Cardiovascular Care—Part 2: Applications
Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR)
Deep learning to detect left ventricular structural abnormalities in chest X-rays
Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease
The Prognostic Value of Electrocardiogram at Presentation to Emergency Department in Patients With COVID-19
Admission Cardiac Diagnostic Testing with Electrocardiography and Troponin Measurement Prognosticates Increased 30‐Day Mortality in COVID‐19