Scientists at the Harvard-affiliated Massachusetts General Hospital and the Broad Institute of MIT and Harvard have developed an AI-based method for identifying patients who are at risk for atrial fibrillation. By considering the results from electrocardiograms, the method predicts whether the patient will have AF within the next five years.
The algorithm could serve as a form of pre-screening tool for patients who may currently be experiencing undetected atrial fibrillation, prompting clinicians to search for atrial fibrillation using longer-term cardiac rhythm monitors, which could, in turn, lead to stroke prevention measures.
【MORE】