The Frontier of Atrial Fibrillation Detection

Atrial fibrillation (AF), a frequently encountered cardiac arrhythmia, presents notable diagnostic challenges to healthcare practitioners. Despite substantial advancements in cardiac care and technology, the early detection of AF continues to be an elusive task with important consequences. As I discussed in my last post, advances in artificial intelligence (AI) may be creating new avenues to assist … Continue reading The Frontier of Atrial Fibrillation Detection

Atrial Fibrillation Screening: Can AI break the barrier?

Researchers at the Mayo Clinic published a study in 2019, showing that a convolutional neural network (CNN) enabled artificial intelligence (AI) algorithm could accurately predict the presence of paroxysmal atrial fibrillation (AF) from an electrocardiogram (ECG) taken in sinus rhythm (SR).  The study was groundbreaking in the sense that even expertly trained electrophysiologists are not … Continue reading Atrial Fibrillation Screening: Can AI break the barrier?