Predicting total knee arthroplasty from ultrasonography using machine learning
OBJECTIVE: To investigate the value of ultrasonographic data in predicting total knee replacement (TKR).DESIGN: Data from the Musculoskeletal Pain in Ullensaker study (MUST) was linked to the Norwegian Arthroplasty Register to form a 5-7 year prospective cohort study of 630 persons (69% women, mean (SD) age 64 (8.7) years). We examined the predictive power of ultrasound (US) features, i.e. osteoph
