Developing and validating machine learning models to predict acetabular cup size in total hip arthroplasty

Objectives and questions: Adequate implant inventory management can improve efficiency, storage space, and result in cost savings in arthroplasty. This study investigates if the prediction of cup size in elective primary total hip arthroplasty (THA) cound be improved with the use of advanced machine [for full text, please go to the a.m. URL]