Background The identification of factors that specify prognostic models for postoperative
results should be based on the best scientific evidence and expert assessment. We aimed to …

Purpose The aim of this study is to develop a machine learning model to identify important
clinical features related to rotator cuff tears (RCTs) using explainable artificial intelligence …

Background Prediction models for outcomes after orthopedic surgery provide patients with
evidence-based postoperative outcome expectations. Our objectives were (1) to identify …

Surgical site wound infection is one of the most common postoperative complications in
orthopaedic clinical practice. This study employed a meta‐analysis approach to …

Assessing health-related quality of life (HRQoL) is a widely employed method in orthopedics
to evaluate patient well-being and measure the effectiveness of surgical interventions …

Purpose To determine if the fatty infiltration of rotator cuff muscles, as measured by magnetic
resonance imaging (MRI) preoperatively and assessed using the Goutallier Fatty …

Introduction The aim of this study was to estimate the incidence of stiffness during the first 6
months after rotator cuff repair and to evaluate postoperative stiffness with respect to its risk …

Background After arthroscopic rotator cuff repair (ARCR), it is crucial for clinicians to predict
the functional recovery in the early postoperative period for considering rehabilitation …

Methods An epidemiological study was performed by using a large de-identified national
health research network (TriNetX) within the United States to search for patients with a …

Purpose To investigate whether the preoperative shoulder range of motion (ROM), would
increase the risk of postoperative shoulder stiffness, or whether it would be associated with …