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Forecasting knee arthroplasty surgery with deep learning : an integrated approach using routine clinical data and radiographs

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Aims: We aimed to develop and validate a practical deep learning model integrating commonly collected clinical data and knee radiographs to predict the need for knee arthroplasty (total or partial) in patients with, or at risk of... ...