Resources

Publications

12/07/2022
- Cardiology
An ECG-Based Machine Learning Model for Predicting New-Onset Atrial Fibrillation Is Superior to Age and Clinical Features in Identifying Patients at High Stroke Risk
Journal of Electrocardiology
11/08/2022
- Cardiology
Composite Deep Learning ECG Algorithm Trained to Identify Structural Heart Diseases Can Identify Clinically Ascertained Hypertrophic Cardiomyopathy
AHA Scientific Sessions 2022
11/08/2022
- Cardiology
The Impact of Time Censoring on Machine Learning Models Which Identify Patients With Undiagnosed Cardiac Amyloidosis
AHA Scientific Sessions 2022
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
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

1 2