Researchers at the Mayo Clinic are pioneering the use of artificial intelligence (AI) in conjunction with an advanced 3D body-volume scanner to better predict the risk and severity of metabolic syndrome. Traditionally, metabolic syndrome, which affects over a third of the U.S. population, has been difficult to screen for due to the limitations of standard measures like body mass index (BMI) and waist-to-hip ratios. However, the AI-powered 3D scanning technology, originally designed for the clothing industry, provides a more precise method for identifying individuals at risk.
The solution combines AI with a 3D body-volume scanner to precisely measure body shape and volume, focusing on areas prone to unhealthy fat accumulation, like the abdomen. By analyzing these measurements alongside traditional health data, the AI model accurately identifies and assesses the severity of metabolic syndrome.
Metabolic syndrome is a serious condition linked to heart attacks, strokes, diabetes, and other health issues. Diagnosis typically requires identifying at least three of five risk factors: abdominal obesity, high blood pressure, high triglycerides, low HDL cholesterol, and high fasting blood sugar. Despite its prevalence, there are no widely accepted screening strategies, complicating early detection and treatment.
By evaluating over 1,400 volunteers using both stationary 3D scanners and a mobile app, researchers confirmed the tool’s ability to reliably assess the presence and severity of metabolic syndrome.
This technology offers a promising alternative to invasive tests, providing a reliable, repeatable measure for clinicians to assess metabolic health. As research expands to include more diverse populations, this innovative approach could become a standard tool in predicting and managing metabolic syndrome, potentially improving patient outcomes and guiding personalized treatment plans.
Article written by Terri Malloy
15/08/2024
Source:
News network Mayo Clinic
https://newsnetwork.mayoclinic.org/discussion/3d-body-volume-scanner-uses-ai-to-help-predict-metabolic-syndrome-risk/