Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period

ObjectiveTo develop and evaluate deep learning (DL) risk assessment models for predicting the progression of radiographic medial joint space loss using baseline knee X-rays.MethodsKnees from the Osteoarthritis Initiative without and with progression of radiographic joint space loss (defined as ≥ 0.7 mm decrease in medial joint space width measurement between baseline and 48-month follow-up X-rays) were randomly stratified into training (1400...