The study compared the 2-year clinical outcomes of anatomic and reverse total shoulder arthroplasty (ATSA and RTSA) with intraoperative navigation versus traditional techniques, finding that navigation was safe and produced at least equally good outcomes with no...
This study evaluates the fairness of machine learning (ML) clinical decision support tools (CDSTs) in predicting clinical outcomes after anatomic total shoulder arthroplasty (aTSA) and reverse total shoulder arthroplasty (rTSA) for patients with different demographic...
Surgeons exhibited increased confidence after reviewing CDST reports, regardless of the recommended procedure or their experience. The study suggests that CDST can inform decision-making and boost confidence in preoperative planning for shoulder arthroplasty. Purpose:...
As technology advances, clinical decision support tools (CDSTs) are emerging as valuable aids in healthcare decision-making. In the field of orthopedic surgery, particularly for total shoulder arthroplasty, a recent study explores the impact of patient-specific...