Radiographic assessment of uncemented humeral components in total shoulder arthroplastyJoaquín Sánchez‐Sotelo, Charles M. Rowland, Shawn W. O’Driscoll et al.|The Journal of Arthroplasty|2001Cited by 154
Validation of a machine learning–derived clinical metric to quantify outcomes after total shoulder arthroplastyChristopher Roche, Joseph D. Zuckerman, Steven Overman et al.|Journal of Shoulder and Elbow Surgery|2021Cited by 101
Clinical and radiographic outcomes with a posteriorly augmented glenoid for Walch B2, B3, and C glenoids in reverse total shoulder arthroplastyJoseph D. Zuckerman, Thomas W. Wright, Sean G. Grey et al.|Journal of Shoulder and Elbow Surgery|2019Cited by 92
What Is the Accuracy of Three Different Machine Learning Techniques to Predict Clinical Outcomes After Shoulder Arthroplasty?Vikas Kumar, Ankur Teredesai, Steven Overman et al.|Clinical Orthopaedics and Related Research|2020Cited by 88
Using machine learning to predict clinical outcomes after shoulder arthroplasty with a minimal feature setVikas Kumar, Ankur Teredesai, Steven Overman et al.|Journal of Shoulder and Elbow Surgery|2020Cited by 81