Patients with atrial fibrillation (AF) have an increased risk of negative clinical outcomes. In this review article, physicians from the Chinese Academy of Medical Sciences and Peking Union Medical ...

Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart. Researchers at Uppsala University and heart specialists in ...

Atrial fibrillation occurs when action potentials fire very rapidly within the pulmonary veins or atrium in a chaotic manner. The result is a very fast atrial rate — about 400 to 600 beats per minute.

Mayo Clinic researchers trained artificial intelligence to pick up subtle differences in electrocardiograph readings to diagnose atrial fibrillation with 90% accuracy. Artificial intelligence (AI) can ...

Please provide your email address to receive an email when new articles are posted on . Two studies found that mass screening for atrial fibrillation in older adults does not reduce stroke. In one ...

An artificial intelligence-powered electrocardiograph detected atrial fibrillation in ECGs with 90 percent accuracy, even if heart rhythm had returned to normal by the time of the screening, according ...

In as few as 10 seconds, an artificial intelligence model may pinpoint people with intermittent atrial fibrillation, study findings show. Mayo Clinic researchers developed the device to detect the ...

Lead-I electrocardiogram (ECG) devices can be used in primary care to help detect atrial fibrillation in people presenting with signs or symptoms of the condition, who have an irregular pulse on ...

With heart rate monitors now standard in smartwatches and fitness trackers, electrocardiograms (ECG/EKG) have rapidly become a common feature in health wearables. The technology aims to assist ...

Evidence-based recommendations on lead-I electrocardiogram (ECG) devices (imPulse, Kardia Mobile, MyDiagnostick and Zenicor-ECG) for detecting symptomatic atrial fibrillation using single time point ...