Background Outcomes reporting in rotator cuff repair (RCR) literature has been variable. The
minimal clinical important difference (MCID), substantial clinical benefit (SCB), and patient …

Background: Acromioclavicular (AC) instability is a frequent injury affecting young and
athletic populations. Symptomatic, high-grade dislocations may be managed by a myriad of …

Study Design: This study is a systematic review. Objective: Propose an evidence-based
algorithm for prevention, diagnosis, and management of postoperative delirium in geriatric …

Background Single Assessment Numeric Evaluation (SANE) offers a simple method of
evaluating patients' sense of functional improvement after shoulder arthroplasty. Methods …

Artificial intelligence and machine learning in orthopaedic surgery has gained mass interest
over the last decade or so. In prior studies, researchers have demonstrated that machine …

Abstract» Acute bacterial septic arthritis of the knee is an orthopaedic emergency and, if left
untreated, can result in substantial joint degradation.

Background We aimed to demonstrate that supervised machine learning (ML) models can
better predict postoperative complications after total shoulder arthroplasty (TSA) than …

Purpose To report outcomes after arthroscopic remplissage in patients with anterior shoulder
instability and subcritical glenoid bone loss, specifically regarding recurrence of instability, …

Background The purposes of this study were to establish thresholds for improvement in
patient-reported outcome scores that signify the minimal clinically important difference (MCID), …

Background: There is increasing evidence to suggest that the amount of glenoid bone loss
to indicate bone block procedures may be lower than previously thought, particularly in the …