We are thrilled to announce the release of the results from a clinical study conducted by Beacon Hospital in Dublin, Ireland. The study showcased the superiority of PulseAI's cutting-edge deep learning AI algorithm over the Apple Watch ECG algorithm in detecting atrial fibrillation (AF). These findings have been accepted for presentation at the Heart Rhythm Conference from May 19-21, 2023.

Atrial fibrillation (AF) is the most common form of arrhythmia. AF episodes can last from a few seconds to several days, and they may produce symptoms such as heart palpitations, shortness of breath, and tiredness. Although AF is not typically deadly, it can cause significant repercussions such as stroke, therefore it's critical to detect and treat the condition as soon as feasible. False positive AF detections are also an issue, in some cases resulting in needless drug usage, such as anticoagulants, which pose a number of risks to the patients when prescribed unnecessarily.