Artificial Intelligence (AI) can detect irregular heartbeat sign Atrial Fibrillation (AFib) from electrocardiogram (EKG). Even when the heartbeat is operating normally during the EKG Test, it can detect it. The Mayo Clinic conducted 181,000 people, revealing this information. Artificial intelligence-driven EKG can also detect atrial fibrillation of the heart, which is not exhibiting any symptoms. This will improve the treatment options.
The research, published in The Lancet, states that this can increase the efficiency of EKG machines, which are widely used to identify heart-related diseases. Recognition of Atrial Fibrillation remains a challenge. Paul Friedman, president of Cardiovascular Department of the Mayo Clinic, says, "When people fall prey to stroke, then we really want to know that they did not have atrial fibrillation before the stroke, because it helps in the treatment. 'Blood dilation medicines in the victims of Atrial Fibrillation protects them from further stroke.
"But people who do not have atrial fibrillation, if they are given blood thinners, have no benefit, and the risk of bleeding increases," says Freedman. This is an important information. We want to know whether the patient is a victim of atrial fibrillation. "AI-powered EKG can detect atrial fibrillation, which will allow the patient to be treated properly. Apart from this, this technology can also work with a smartphone or clock processor, making it available on a large scale.
