Machine learning detects early signs of osteoarthritis

Machine learning detects early signs of osteoarthritis

Machine learning detects early signs of osteoarthritisAt a Glance Using artificial intelligence and MRI scans, researchers identified signs of osteoarthritis three years before diagnosis. They used MRI scans from 86 people who had no initial symptoms or visual signs of disease. Kundu et al., PNASThe team used a technique they developed called three-dimensional transport-based morphometry (3D TBM) to identify biochemical changes, such as how much water is present, in cartilage using MRI scans. After three years, they compared the cartilage maps for the participants who were eventually diagnosed with osteoarthritis with those who were not. Using machine-learning algorithms, the team trained the system to automatically differentiate between people who would progress to osteoarthritis and those who wouldn’t.

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