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Mayo Clinic Finds AI Detects Silent Heart Disease

February 04, 2019

Mayo Clinic Finds AI Detects Silent Heart Disease

A Mayo Clinic study finds that applying artificial intelligence (AI) to a widely available, inexpensive test—the electrocardiogram (EKG)—results in a simple, affordable early indicator of asymptomatic left ventricular dysfunction, which is a precursor to heart failure.

   The research team found that the AI/EKG test accuracy compares favorably with other common screening tests, such as mammography for breast cancer. The findings were published in Nature Medicine. The Mayo study reports that the best existing screening test for asymptomatic left ventricular dysfunction is to measure natriuretic peptide levels (BNP), but results of BNP have been disappointing, and the test requires blood draws. In their study, Mayo Clinic researchers hypothesized that asymptomatic left ventricular dysfunction could be reliably detected in the EKG by a properly trained neural network. The study concluded that AI applied to a standard EKG reliably detects asymptomatic left ventricular dysfunction.
   —Please see https://newsnetwork.mayoclinic.org/discussion/mayo-clinic-research-uses-artificial-intelligence-to-develop-inexpensive-widely-available-early-detector-of-silent-heart-disease/ for more on this.