Resources

Publications

11/08/2021
- Cardiology
Machine Learning Analysis of Progression From Moderate to Severe Tricuspid Regurgitation
AHA Scientific Sessions 2021
06/20/2021
- Cardiology
Machine Learning-Based Cluster Analysis of Patients with Significant Tricuspid Regurgitation Reveals Distinct Population With Different Phenotypes and Clinical Outcomes
American Society of Echocardiography
06/14/2021
- Cardiology
Enhanced Detection of Heart Valve Disease Using Integrated Artificial Intelligence at Scale
The Annals of Thoracic Surgery
02/16/2021
- Cardiology
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead Electrocardiogram and Help Identify Those at Risk of AF-Related Stroke
Circulation
11/12/2020
- Cardiology
Prediction of Incident AF With Deep Learning Can Identify Patients at High Risk for AF-related Stroke
American Heart Association Scientific Sessions 2020
05/13/2020
- Cardiology
RNA Pathway Enrichment in Serum-Based Mass Spectroscopy Prognostic Analyses
05/11/2020
- Cardiology
- Pulmonary Hypertension
Prediction of Mortality From 12-lead Electrocardiogram Voltage Data Using a Deep Neural Network
05/09/2020
- Cardiology
Evaluation of Cardiac Shunts With 4D Flow Cardiac Magnetic Resonance: Intra- and Interobserver Variability
Journal of Magnetic Resonance Imaging
04/14/2020
- Cardiology
Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI
Radiology
02/13/2020
- Cardiology
Clinical Use of 4D Flow MRI for Quantification of Aortic Regurgitation
Open Heart

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