Mayo Clinic research yields breakthrough in mobile determination of QT prolongation

Researchers from Mayo Clinic and AliveCor Inc. have been using artificial intelligence (AI) to develop a mobile device that can identify certain patients at risk of sudden cardiac death. This research has yielded a breakthrough in determining the health of the electrical recharging system in a patient’s heart. The researchers determined that a smartphone-enabled mobile EKG device can rapidly and accurately determine a patient’s QTc, thereby identifying patients at risk of sudden cardiac death from congenital long QT syndrome (LQTS) or drug-induced QT prolongation.

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Morristown Medical Center’s Dr. Stephen Winters Discusses What Everyone Should Know About Atrial Fibrillation

September is National Atrial Fibrillation Month, and Stephen L. Winters, MD, director of the Cardiac Rhythm Management Program, Gagnon Cardiovascular Institute, Atlantic Health System’s Morristown Medical Center, wants the public to know some surprising facts about this increasingly common heart condition.

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Mayo researchers create, test AI to improve EKG testing for hypertrophic cardiomyopathy

An approach based on artificial intelligence (AI) may allow EKGs to be used to screen for hypertrophic cardiomyopathy in the future. With hypertrophic cardiomyopathy, the heart walls become thick and may interfere with the heart’s ability to function properly. The disease also predisposes some patients to potentially fatal abnormal rhythms. Current EKG technology has limited diagnostic yield for this disease.

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