A Deep Learning Tool for Minimum Joint Space Width Calculation on Anteroposterior Knee Radiographs.

Background: Minimum joint space width (mJSW) is an important continuous quantitative metric of osteoarthritis progression in the knee. The purpose of this study was to develop an automated measurement algorithm for mJSW in the medial and lateral compartments of the knee that can flexibly handle native knees as well as knees after arthroplasty.

Methods: We developed an end-to-end algorithm consisting of a deep learning segmentation model plus a computer vision algorithm to measure mJSW in the medial and lateral compartments of the knee.

Effects of cold storage on double integrating sphere optical property measurements of porcine dermis and subcutaneous fat from 400 to 1100 nm.

Significance: Accurate values of skin optical properties are essential for developing reliable computational models and optimizing optical imaging systems. However, published values show a large variability due to a variety of factors, including differences in sample collection, preparation, experimental methodology, and analysis.

Aim: We aim to explore the influence of storage conditions on the optical properties of the excised skin from 400 to 1100 nm.

Long-term Recurrence Rates After Isolated Arthroscopic Bankart Repair in Selected Patients Without Preoperative Bone Loss Versus Open Latarjet Procedure: A Matched-Pair Analysis.

Background: Clinical studies have shown that the open Latarjet procedure (OLP) has lower recurrence rates than the isolated arthroscopic Bankart (IAB) procedure for recurrent anterior shoulder instability, but no long-term comparative studies exist for IAB in patients without bone loss.

Purpose/hypothesis: This study aimed to compare the outcomes of IAB in selected patients without bone loss versus OLP. The hypothesis was that OLP would be more successful in preventing recurrence, even in carefully selected patients for IAB.

Total Knee Arthroplasty Automated Implant Detector: An Uncertainty-Aware Deep Learning Classifier to Identify Total Knee Arthroplasty Implants.

Background: A drastic increase in the volume of primary total knee arthroplasties (TKAs) performed nationwide will inevitably lead to higher volumes of revision TKAs in which the primary knee implant must be removed. An important step in preoperative planning for revision TKA is implant identification, which is time-consuming and difficult even for experienced surgeons. We sought to develop a deep learning algorithm to automatically identify the most common models of primary TKA implants.

Utility of Parent and Teacher Behavior Ratings for Self-Regulatory Outcomes of Preschool Children: A Multi-Study Examination.

Despite frequent reliance on teacher and parent ratings of children's behavior for multi-informant assessment, agreement between teachers' and parents' ratings is low. This study examined the predictive utility of teacher and parent ratings for children's self-regulatory outcomes (i.e.