Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality worldwide.1 High systolic blood pressure (SBP) remains one of the top risk factors for CVD burden globally.2 Despite being a modifiable risk factor, hypertension (HTN) remains largely undiagnosed and ...

 Artificial intelligence Atrial Fibrillation Shaan Khurshid AF Symposium 2023 Artificial intelligence (AI) has shown promise in predicting atrial fibrillation (AF) risk by analyzing various patient data such as demographics, medical history, and electrocardiogram (ECG) recordings, which can potentially help identify high-risk ...

Several smart, connected and direct-to-consumer wearable devices capable of detecting cardiac arrhythmias have proliferated in the marketplace in the last decade. Increasingly, these devices are being marketed as “medical grade” in addition to “wellness” devices.1 New iterations of smartwatch and ...

Background: Post-atrial fibrillation (AF) ablation clinics are typically in person, whereby 12-lead electrograms (ECG) and/or Holter monitors can detect recurrence. During the COVID-19 pandemic, at our site, nurse-led clinics were telephonic, and timely access to these investigations became difficult. ...

Background: Atrial fibrillation (AF) is a prevalent cardiac arrhythmia linked with a five-fold increased risk of ischaemic stroke. Despite the need for pulse rhythm checks of reasonable duration in selectively identified high-risk patients, the NHS is under pressure to perform ...

Undiagnosed atrial fibrillation (AF) is common, especially in older populations. The European Society of Cardiology (ESC) therefore recommends in its 2016 guidelines1 that AF should be screened in all patients >65 years old by taking their pulse and, if irregular, diagnosed ...

The COVID-19 pandemic has had a major impact on how Arrhythmia services are run throughout the UK. There was a need to quickly establish remote clinics without access to diagnostics such as ECG monitoring. Traditionally patients were seen by Arrhythmia ...