Modern Applications of Machine Learning in Shoulder Arthroplasty A Review

& drangbrac; There is increased integration of machine learning (ML) to aid clinical decision-making in orthopaedic surgery.& drangbrac; ML has the ability to predict both clinical outcomes such as range of motion and complications in total shoulder arthroplasty patients.& drangbrac; An increased area of focus is the ability for ML to identify implants to aid in revision surgery planning.& drangbrac; In this article, we review the current applications of ML in shoulder arthroplasty and discuss future areas where it may enhance orthopaedic practice.