Orthopedics

The FACT-Score: Development and Temporal Validation of a Clinical Risk Stratification Tool for 30-Day Complications After Operative Facial Fracture Repair.

BACKGROUND: No validated, procedure-specific tool exists for predicting 30-day complications after operative facial fracture repair. This study aimed to develop and temporally validate a clinical risk stratification tool for 30-day complications after operative facial fracture repair. METHODS: Adults undergoing operative facial fracture repair were identified in the American College of Surgeons Na...

Dual-energy x-ray imaging for AI-based lung tumor localization using foundation models: a phantom study.

Objectives.This study assessed the performance of artificial intelligence (AI)-based tumor tracking using foundation models in planar dual-energy (DE) x-ray compared with the corresponding high-energy (HE) images from the same DE acquisition.Approach.An in-house phantom with pork ribs and artificial tumors was scanned using fast kVp-switching DE planar imaging using two kVp pairs (60/120 kVp and 8...

Moderate-to-substantial agreement of ChatGPT-5 for Kellgren-Lawrence grading on synthetic knee radiographs: a controlled cross-sectional observer agreement study.

AI models are increasingly explored for radiographic assessment of knee osteoarthritis, but their reliability as an experimental model for KL grading ...

Targeting the FoxO-ferroptosis axis: mechanistic insights into Saikosaponin A-mediated protection against cartilage degeneration in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a common chronic inflammatory orthopedic disease, and ferroptosis (a novel OA-associated cell death mechanism) rema...

Bisphenol A drives the comorbidity of non-alcoholic fatty liver disease and osteoarthritis by targeting RHOB: Integrated multi-omics, single-cell analysis, and experimental validation.

BACKGROUND: This study focuses on exploring the co-morbid mechanisms by which Bisphenol A (BPA) induces non-alcoholic fatty liver disease (NAFLD) and ...

Deep learning for multimodal physiological signal based assessment of sleep disordered breathing.

Sleep disordered breathing (SDB) is commonly assessed using polysomnography (PSG), which records multiple physiological signals during sleep. Accurate...

Deep learning model for predicting fracture redisplacement in conservatively treated distal radius fractures using radiographs: a retrospective cohort study.

Accurate assessment of redisplacement risk in distal radius fractures during initial treatment is crucial for selecting the optimal management plan. T...

An ROI-Guided Imaging Informatics Framework for Image-Language Differentiation of Tuberculous and Pyogenic Spondylitis on MRI.

This study aims to develop and validate an MRI-based image-language collaborative framework for differentiating tuberculous spondylitis (TB) from pyog...

A comprehensive evaluation of seven osteoporosis screening tools.

UNLABELLED: This review evaluates the sensitivity, specificity, and predictive values of seven osteoporosis screening tools in populations such as pos...

Automated morphometric segmentation analysis of hand X-ray image using deep learning network.

BACKGROUND: The rapid development of deep learning in computer vision has led to increasing interest in its applications to medical image analysis. Wh...

A feature-efficient dual-task machine learning framework for predicting bone mineral density and osteoporosis stratification in resource-constrained environments.

Osteoporosis is a chronic skeletal disorder characterized by progressive bone mineral density (BMD) loss and structural deterioration, significantly i...

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring.

Bone regeneration in orthopedics is a great challenge, as efficient recovery affects patient's quality of life. Common methods encounter different lim...

Deep learning-enhanced zero echo time MRI for femoral cortical bone quantification: A technical validation against CT.

This study compared quantitative measurements of femoral cortical bone between zero echo time magnetic resonance images (oZTEo) and computed tomograph...

Predicting postoperative coronal imbalance in Lenke 1/2 adolescent idiopathic scoliosis: A machine learning model with clinical interpretability.

OBJECTIVES: Selective posterior thoracic fusion (sPTF) for Lenke 1/2 adolescent idiopathic scoliosis (AIS) aims to reconcile multi-planar correction w...

The Science of Preventing Delirium: Trends, Knowledge Gaps, and Future Directions Revealed Through Bibliometric Insights.

PURPOSE: To examine global research trends in delirium prevention through a bibliometric analysis and provide a structured overview of its development...

Serum IL-19 and Biglycan as Candidate Biomarkers by Proteomic Approach in Patients with Severe Low Back Pain-a Pilot Study.

OBJECTIVE: Low back pain (LBP) is common. Although imaging studies are widely used to evaluate back pain, the link between pain and intervertebral dis...

Deep learning-based automated assessment of alveolar bone loss in CBCT for periodontitis.

OBJECTIVES: This study aimed to develop and validate a CBCT-based automated system for assessing radiographic alveolar bone loss (RBL) to improve the ...

An interpretable machine learning model integrating ultrasound and clinical variables for predicting osteoporosis in patients with rheumatoid arthritis.

OBJECTIVES: Rheumatoid arthritis (RA) significantly increases the risk of osteoporosis (OP) and fractures, yet dual-energy X-ray absorptiometry (DXA) ...

Enhancing medical imaging teaching on scoliosis: Efficacy of learning method integrating 3D printing and artificial intelligence technologies.

BACKGROUND: In scoliosis imaging education, the traditional lecture-based learning model can lead to low student engagement and present challenges in ...

Multi-parameter scoliosis evaluation from dual-view x-rays via a local sine-based projection model.

OBJECTIVE: To develop a robust and accurate multi-parameter assessment framework for adolescent idiopathic scoliosis (AIS) based on spinal X-ray image...