Resources

Publications

11/08/2022
- Cardiology
Natural Language Processing Models Can Be Trained to Accurately Recognize the Presence of Disease Within Clinical Notes
AHA Scientific Sessions 2022
11/08/2022
- Cardiology
Deep Learning Prediction of New-Onset Atrial Fibrillation Using Echocardiography Videos
AHA Scientific Sessions 2022
11/08/2022
- Cardiology
EHR-Based Machine Learning Model Predicts Drug-Induced QT Prolongation With Superior Performance Compared to Clinical Risk Predictors
AHA Scientific Sessions 2022
11/08/2022
- Cardiology
An EHR-Based Machine Learning Model Predicts Myocardial Infarction Better Than an ECG-Based Machine Learning Model and the Pooled Cohort Equations
AHA Scientific Sessions 2022
05/09/2022
- Cardiology
rECHOmmend: An ECG-based Machine-learning Approach for Identifying Patients at High-risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography
Circulation, Tempus-authored
04/11/2022
- Cardiology
AI-Based Predictive and Diagnostic Electrocardiography
International Society of Electrocardiology
04/01/2022
- Cardiology
Echocardiographic and Socioeconomic Predictors of Progression of Moderate Tricuspid Regurgitation: A Single Center Study
Journal of the American College of Cardiology
02/04/2022
- Cardiology
Machine Learning Analysis Including Social Determinants of Health for Predication of Mortality Following Transcatheter Aortic Valve Implantation: A Single Center Experience
European Heart Journal - Cardiovascular Imaging
11/08/2021
- Cardiology
Rechommend: An Ecg-Based Machine-Learning Approach for Identifying Patients at High-Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography
AHA Scientific Sessions 2021
11/08/2021
- Cardiology
An ECG-Based Machine Learning Model for Predicting New Onset Atrial Fibrillation is Superior to Age and Clinical Variables in Selecting a Population at High Stroke Risk
AHA Scientific Sessions 2021

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