Atrial fibrillation affects one million people in the UK and increases the risk of stroke and long-term heart problems. It is relatively simple to diagnose when the heart is beating irregularly, but not when it returns to normal. Computer modelling at the Mayo Clinic in the US may have identified signs that indicate previous abnormalities.
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Context: A new Mayo Clinic research study shows that artificial intelligence (AI) can detect the signs of an irregular heart rhythm — atrial fibrillation (AF) — in an EKG, even if the heart is in normal rhythm at the time of a test. In other words, the AI-enabled EKG can detect recent atrial fibrillation that occurred without symptoms or that is impending, potentially improving treatment options. This research could improve the efficiency of the EKG, a noninvasive and widely available method of heart disease screening. The findings and an accompanying commentary are published in The Lancet. You can read more on Mayo Clinic News Network.
Contact: Terri Malloy