Health IT Analytics September 29, 2022
Mayo Clinic researchers found that an artificial intelligence-based screening strategy that uses electrocardiogram data could determine patient risk for a stroke.
Aiming to lower the prevalence of undiagnosed atrial fibrillation and stroke, researchers from Mayo Clinic tested an artificial intelligence (AI)-based screening strategy designed to determine new cases of atrial fibrillation following an evaluation of electrocardiograms (ECGs).
Atrial fibrillation is an irregular heartbeat that can result in blood clots, potentially causing a stroke. To enhance the detection of atrial fibrillation, researchers from Mayo Clinic evaluated a strategy guided by an AI algorithm previously developed by nference and Mayo Clinic and licensed to Anumana Inc., a health technology company. The algorithm is designed to identify atrial fibrillation in normal sinus...
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