Last Updated: 09/26/2026
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Found 5 publications
Multicenter validation of an artificial intelligence-enabled ECG model to predict 1-year risk of atrial fibrillation or flutter.
Journal: Heart rhythm
Published: January 22, 2026
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: Journal of electrocardiology
Published: May 14, 2022
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.
Journal: Circulation
Published: February 16, 2021
A Machine Learning Approach to Management of Heart Failure Populations.
Journal: JACC. Heart failure
Published: July 10, 2019
Identifying Asthma Exacerbation-Related Emergency Department Visit Using Electronic Medical Record and Claims Data.
Journal: Applied clinical informatics
Published: July 25, 2018
Showing 1-5 of 5
Last Updated: 09/26/2026