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Artificial intelligence predicts undiagnosed atrial fibrillation in patients with embolic stroke of undetermined source using sinus rhythm electrocardiograms

HeartRhythm

Artificial intelligence (AI)-enabled sinus rhythm (SR) electrocardiogram (ECG) interpretation can aid in identifying undiagnosed paroxysmal atrial fibrillation (AF) in patients with embolic stroke of undetermined source (ESUS).

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Atrial fibrillation screening in Syrian patients reporting to the emergency department during the ongoing conflict: a cross-sectional study

Frontiers in Cardiovascular Medicine

Patients had routine 12-lead electrocardiograms (ECGs) regardless of presenting complaints. Data regarding AF screening in conflict countries emergency departments (ED) is lacking.MethodsWe included consecutive patients >40 years old who reported to the ED of a Syrian tertiary centre between July 2024 and September 2024.

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Automated interpretations of single-lead electrocardiograms predict incident atrial fibrillation: The VITAL-AF Trial

HeartRhythm

Single-lead electrocardiograms (1L ECG) are increasingly used for atrial fibrillation (AF) detection. Automated 1L ECG interpretation may possess prognostic value for future AF among cases where screening does not result in a short-term AF diagnosis.

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Automatic detection of cardiac conditions from photos of electrocardiogram captured by smartphones

Heart BMJ

In a proof-of-concept demonstration, an atrial fibrillation diagnostic algorithm achieved 91.3% Results Waveforms from 40 516 scanned and 444 photographed ECGs were automatically extracted. 12 828 of 13 258 (96.8%) scanned and 5399 of 5743 (94.0%) photographed waveforms were correctly cropped and labelled. sensitivity, 94.2%

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Effect of sacubitril/valsartan on sinus rhythm maintenance after catheter ablation in patients with persistent atrial fibrillation without reduced ejection fraction heart failure: a study protocol for a multi-center, open-label, randomized, controlled, superiority clinical trial

Frontiers in Cardiovascular Medicine

Introduction A high recurrence rate of atrial fibrillation was monitored after catheter ablation for persistent atrial fibrillation. The primary outcome will be sinus rhythm maintenance rate over 12 months, monitored by random electrocardiogram and 24-h Holter electrocardiogram.

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Enhanced detection of atrial fibrillation in single-lead electrocardiograms using a cloud-based artificial intelligence platform

HeartRhythm

Although smartphone-based devices have been developed to record 1-lead ECG, existing solutions for automatic atrial fibrillation (AF) detection often has poor positive predictive value.

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A video tutorial to distinguish between sinus rhythm and atrial fibrillation using smartwatch electrocardiograms may facilitate self-diagnosis and remote-monitoring

HeartRhythm

The ability to record an electrocardiogram (ECG) with a smartwatch (readily available without medical prescription), is a small revolution for cardiology.1 The ability to record an electrocardiogram (ECG) with a smartwatch (readily available without medical prescription), is a small revolution for cardiology.1