AI body composition measurements can predict cardiometabolic risk
Mass General BrighamPeer-Reviewed Publication
Adiposity—or the accumulation of excess fat in the body—is a known driver of cardiometabolic diseases such as heart disease, stroke, type 2 diabetes, and kidney disease. But getting the full picture of a person’s risk is harder than it may seem. Traditional measures such as body mass index (BMI) are imperfect, conflating fat and muscle mass and not capturing where in the body fat is located. A new study from researchers at Mass General Brigham and their colleagues found that an AI tool designed to measure body composition could accurately capture details in just three minutes from a body scan. Their results, published in Annals of Internal Medicine, show that not all fat is equally harmful and highlight the potential of using AI to repurpose data from routine scans.
- Funder
- Deutsche Forschungsgemeinschaft, Norn Group