Researchers at the Mayo Clinic have found that artificial intelligence-based diagnostics help detect atrial fibrillation. To do this, the machine must be given to analyze the electrocardiogram data.
There are a huge number of people in the world who do not know about the presence of atrial fibrillation, which threatens the risk of stroke. That is why it is important to identify this pathology in time, which outwardly, as a rule, does not manifest itself in any way with any symptoms. Atrial fibrillation is a malfunction in the heartbeat that can provoke blood clots that cause strokes. And so, to improve the detection of this pathology, American scientists used an artificial intelligence algorithm.
When an electrocardiogram was loaded into this system, it revealed atrial fibrillation even with a normal sinus rhythm. The study included 1,003 patients who were under constant supervision and the same number who received routine care.
Among the participants of the intervention group, the algorithm detected atrial fibrillation in 6 out of 370 low-risk patients, and in 48 out of 633 high-risk patients. Thus, screening based on artificial intelligence more often revealed atrial fibrillation. And using an ECG controlled by AI to diagnose arrhythmia really has a lot of advantages.