Deep learning AI may identify atrial fibrillation from a normal rhythm ECG

An artificial intelligence (AI) model has been found to identify patients with intermittent atrial fibrillation even when performed during normal rhythm using a quick and non-invasive 10 second test, compared to current tests which can take weeks to years. Although early and requiring further research before implementation, the findings could aid doctors investigating unexplained strokes or heart failure, enabling appropriate treatment.
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