AI-guided screening uses ECG data to detect a hidden risk factor for stroke

Researchers at Mayo Clinic used artificial intelligence (AI) to evaluate patients’ electrocardiograms (ECGs) in a targeted strategy to screen for atrial fibrillation, a common heart rhythm disorder. Atrial fibrillation is an irregular heartbeat that can lead to blood clots that may travel to the brain and cause a stroke, but it is largely underdiagnosed. In the digitally-enabled, decentralized study, AI identified new cases of atrial fibrillation that would not have come to clinical attention during routine care.

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