Area of research
Cardiology and Cardiovascular Medicine · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medicine, Cardiology, Internal medicine, Cohort, Receiver operating characteristic, and Deep learning.
Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease
Abstract 17420: Enhanced Identification of Cardiac Wall Motion Abnormalities: An Externally Validated Deep Neural Network Approach Outperforms Expert and Quantitative Analysis of Electrocardiograms
Abstract 17934: Performance of an Electrocardiographic Deep Learning Model for Detecting Wall Motion Abnormalities: An Analysis of Impact From Cardiovascular Comorbidities and Race in an External Validation Study
Abstract 19210: Interpretation of Deep Learning Model That Identifies Regional Myocardial Dysfunction From the Surface Ecg
Abstract 18102: Impact of Regional Cardiac Wall Motion Abnormalities on Ejection Fraction and Mortality: Large Data Enabled by Natural Language Processing
Deep learning evaluation of biomarkers from echocardiogram videos
Deep neural network trained on surface ECG improves diagnostic accuracy of prior myocardial infarction over Q wave analysis
Abstract 311: Machine Learning of the Electrocardiogram to Detect Regional Structural Abnormalities of the Heart