Mayo Clinic researchers are using artificial intelligence (AI) with an advanced 3D body-volume scanner – originally developed for the clothing industry – to help doctors predict metabolic syndrome risk and severity.
Mayo ClinicAug 22 2024 Mayo Clinic researchers are using artificial intelligence with an advanced 3D body-volume scanner – originally developed for the clothing industry – to help doctors predict metabolic syndrome risk and severity. The combination of tools offers doctors a more precise alternative to other measures of disease risk like body mass index and waist-to-hip ratio, according to findings published in the European Heart Journal - Digital Health.
The effects of metabolic disease create hardship for patients. In addition to heart attack and stroke, people with metabolic syndrome are more likely to develop diabetes, cognitive disease and liver disease. Metabolic syndrome is diagnosed clinically when at least three of these five conditions are present: abdominal obesity, high blood pressure, high triglycerides, low HDL cholesterol and high fasting blood sugar.
People with metabolic syndrome typically have apple-shaped bodies, meaning they carry a lot of their weight around the abdomen. The diagnosis of metabolic syndrome revolves around laboratory tests, blood pressure and body shape measurements, but there are no widely accepted routine screening strategies because these measurements are not always available or reproducible in the same way.
Syndrome Artificial Intelligence Blood Blood Pressure Body Mass Index Body Shape Education Heart Heart Attack Imaging Muscle Research Stroke Technology
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