Pathology

Retrospective cohort study

Machine learning

Surgery

Physical therapy

Alternative medicine

Osteoarthritis

Arthroplasty

Rotator cuff

Shoulders

Elbow

Shoulder surgery

Computer science

Medicine

JBJS Open Access

The ability to accurately predict postoperative outcomes is of considerable interest in the field of orthopaedic surgery. Machine learning has been used as a form of predictive modeling in multiple health-care settings. The purpose of the current study was to determine whether machine learning algorithms using preoperative data can predict improvement in American Shoulder and Elbow Surgeons (ASES) scores for patients with glenohumeral osteoarthritis (OA) at a minimum of 2 years after shoulder arthroplasty.

Machine Learning Can Predict Level of Improvement in Shoulder Arthroplasty