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2. Associations Between Alcohol Intake and Genetic Predisposition With Atrial Fibrillation Risk in a National Biobank. (December 2020)

3. Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke. Issue 5 (May 2020)

4. Automated Electronic Phenotyping of Cardioembolic Stroke. Issue 1 (January 2021)

5. Deep Learning to Predict Cardiac Magnetic Resonance–Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs. (16th June 2021)

6. ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation. Issue 2 (11th January 2022)

7. ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation. Issue 2 (8th November 2021)

9. Initial Precipitants and Recurrence of Atrial Fibrillation. (March 2020)

10. Machine Learning to Understand Genetic and Clinical Factors Associated With the Pulse Waveform Dicrotic Notch. (29th December 2022)