Orthopedics

Development and validation of natural language processing pipelines to extract injury and surgery-related data elements from ACL reconstruction operative reports.

BACKGROUND: Over 100,000 patients undergo ACLR each year in the United States, providing rich electronic medical record data to improve outcomes, but manual chart review can be time-consuming and expensive. Natural language processing (NLP) methods have been successfully used to extract information for other orthopaedic operative procedures (e.g., hip and knee arthroplasties). Different subspecial...

An interpretable multimodal biomechanical-radiological model for predicting fixation failure in osteoporotic hip fractures: A retrospective cohort study.

This study aimed to develop and validate a multimodal prediction model integrating biomechanical and radiological variables to predict internal fixation failure in osteoporotic hip fractures, enabling individualized risk assessment and perioperative decision-making. Patients with osteoporotic hip fractures undergoing internal fixation between March 2019 and February 2024 were retrospectively enrol...

Associations Between Deep Learning-Derived Infrapatellar Fat Pad Volume on MRI with Cartilage Thickness and Imaging Features of Knee Osteoarthritis: Data from the Osteoarthritis Initiative.

OBJECTIVE: To investigate associations between infrapatellar fat pad volume (IPFPVol) measured on MRI with imaging features of knee osteoarthritis. DE...

A comprehensive descriptive analysis of hip and knee radiographic osteoarthritis in the UK Biobank in relation to joint pain, joint site interrelationships, obesity, race and deprivation: Findings from 59,475 individuals.

OBJECTIVE: Patients with osteoarthritis (OA) affecting multiple joints experience greater pain than those with single-joint disease, yet most research...

Beyond the pelvic ring: benchmarking multi-bone segmentation for ROI-Guided fracture detection.

Pelvic fractures are critical injuries associated with high mortality rates, yet accurate diagnosis using conventional radiography remains challenging...

Performance Comparison Between Domestic and International Large Language Models in Patient Education for Chinese Patients with Lumbar Disc Herniation: A Cross-Sectional Study.

OBJECTIVE: This study aims to systematically evaluate and compare the performance of different large language models (LLMs) in providing medical advic...

Freehand 3D ultrasound imaging of the femoral head and neck.

PURPOSE: To evaluate the performance of a novel freehand 3D ultrasound system for assessing morphological deformities of the femoral head and neck ass...

Correction: Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans.

Efforts towards a precision medicine approach in juvenile idiopathic arthritis.

Juvenile idiopathic arthritis (JIA) is the commonest group of childhood arthritides. Despite the availability of advanced therapeutics, many children ...

An Effective Semi-Subject-Independent sEMG-Based Learning Framework to Continuously Predict Knee Joint Trajectory.

Predicting knee joint trajectory is critical for controlling intelligent walking-assistive devices, with surface electromyography (sEMG) emerging as a...

Essential Innovations in Spinal Surgery: Contributions from the French School.

French innovation has profoundly shaped the evolution of spinal surgery over the past fifty years. While many French contributions are now internation...

Diagnostic Accuracy of Artificial Intelligence Systems in Early Prediction of Dislocation and Aseptic Loosening After Total Hip Arthroplasty.

BACKGROUND: Artificial intelligence (AI) is increasingly used in total hip arthroplasty (THA), yet its role in postoperative imaging remains limited. ...

Exploring the Rotational Instability Spectrum of ACL Deficiency: An Exploratory Phenotype-Based Classification Integrating Secondary Stabilizer Injury Burden.

INTRODUCTION: Anterior cruciate ligament (ACL) deficiency is traditionally viewed as a relatively homogeneous condition in which rotational instabilit...

Prediction of Running Anteroposterior Ground Reaction Force From the Vertical Component Through a Deep Learning Approach.

Studying ground reaction force (GRF) is essential for in situ running analysis, as they provide critical insights into both performance optimization a...

Deep learning-based physical exercise assessment of older adults using single-camera videos.

Regular physical activity preserves functional independence in older adults, yet care-home residents often miss out because personalized supervision i...

RSFNet: A retention-based network with spatial-frequency joint enhancement for infrared small target detection.

Infrared Small Target Detection (ISTD) is crucial for applications such as traffic monitoring and maritime surveillance. However, it remains highly ch...

Dynamic prediction of HIV-related incomplete immune reconstitution: A multicenter, large cohort study using advanced joint modeling.

Incomplete immune reconstitution (IIR) is a serious complication affecting 10 to 40% of people living with HIV (PLWH) despite effective antiretroviral...

Diethylene glycol dibenzoate an emerging plasticizer disrupts bone formation via MMP3 targeting: Insights from bioinformatics and in vitro validation.

DEGDB, also known as diethylene glycol dibenzoate, is a new eco-conscious plasticizer on the block. However, the environmental and health implications...

Identifcation of extracellular matrix-associated signatures to establish a risk model in rheumatoid arthritis and osteoarthritis through transcriptomic analysis.

BACKGROUND: Rheumatoid arthritis (RA) and osteoarthritis (OA) frequently coexist, complicating diagnosis and treatment. The extracellular matrix (ECM)...

Deep learning-enabled tissue engineering scaffold classification using cell morphology.

The physical properties and architecture of biomaterial scaffolds regulate cell morphology and function; however, evaluating these effects is often sl...