Initial clinical experience with a predictive clinical decision support tool for anatomic and reverse total shoulder arthroplasty.

Purpose: Clinical decision support tools (CDSTs) are software that generate patient-specific assessments that can be used to better inform healthcare provider decision making. Machine learning (ML)-based CDSTs have recently been developed for anatomic (aTSA) and reverse (rTSA) total shoulder arthroplasty to facilitate more data-driven, evidence-based decision making. Using this shoulder CDST as an example, this external validation study provides an overview of how ML-based algorithms are developed and discusses the limitations of these tools.

Effects of graft rotation on initial biomechanical failure characteristics of bone-patellar tendon-bone constructs.

Background: Graft-tunnel mismatch is a potential problem during single-incision technique for anterior cruciate ligament reconstruction with the central third of the patellar tendon. Mismatch is present when the graft is too long to fit appropriately in the tunnels that have been created. Graft rotation is one method for addressing this problem.

Results of pectoralis major transfer with fascia lata autograft augmentation for scapula winging.

Fifteen patients (9 male and 6 female) with a mean age of 32.8 years (range, 17-44 years) were examined at a mean follow-up of 64 months (range, 33-118 months) after undergoing pectoralis major transfer with a fascia lata autograft for scapular winging. Ten patients were treated as part of a worker's compensation claim.