Orthopedics

Quality assessment of YouTube videos on total knee arthroplasty: a comparative evaluation of orthopedic surgeons and artificial intelligence models.

BACKGROUND: YouTube is widely used by patients seeking preoperative information before total knee arthroplasty (TKA). As online video content may influence patient expectations and postoperative satisfaction, reliable tools are needed to assess educational quality. Advances in artificial intelligence (AI) enable large-scale evaluation of digital medical content. This study assessed the educational...

Deep Learning-Based Detection of Overhanging Restorations and Calculation of Radiographic Alveolar Bone Loss Percentage with YOLOv11 and YOLOv12.

The objective of this study is to evaluate the YOLOv11 and YOLOv12 deep learning models for the detection of overhanging restorations in panoramic radiographs and the calculation of the associated percentage of alveolar bone loss. Overhanging restorations were labeled using bounding boxes on 550 panoramic radiographs, while alveolar bone loss was labeled using position estimates of the enamel-ceme...

Bone morphology as a significant risk factor for anterior cruciate ligament injury.

Anterior cruciate ligament (ACL) injury is a prevalent sports-related trauma with significant impact on both professional athletes and young individua...

Long-term outcomes with emicizumab prophylaxis for haemophilia A in China: A multicentre, large-cohort retrospective study.

Emicizumab is an established prophylactic therapy for haemophilia A (HA). However, real-world multicentre evidence on long-term outcomes, particularly...

Artificial Intelligence in Total Hip and Knee Arthroplasty: A Primer on Current Applications, Algorithms, and Future Directions.

» Artificial intelligence (AI) is increasingly integrated across the total hip and knee arthroplasty care continuum, including preoperative risk strat...

Automatic early detection of pathological signs following primary total hip arthroplasty using radiographs, clinical scores, and comorbidities.

The growing prevalence of total hip arthroplasty (THA) revisions, along with their generally poorer outcomes compared to primary procedures, emphasize...

Joint optimization secure and energy-efficient computation offloading framework IoT-enabled edge networks.

With the rapid growth and development of smart cities, many real-time systems have been designed to support the dynamic infrastructure of realistic an...

Radiomics Analysis for Predicting Medication-Related Osteonecrosis of the Jaw Using Computed Tomography.

OBJECTIVES: To determine whether pretreatment radiomics can predict medication-related osteonecrosis of the jaw (MRONJ). METHODS: Patients with mandib...

Tailoring silicone mixtures for soft robotics: predictive modeling and experimental validation in pneumatic soft actuators.

The development of soft robotics hinges on the ability to tailor material properties to meet specific application requirements. This study investigate...

Performance of large language models in interpreting evidence-based clinical guidelines for lumbar disc herniation with radiculopathy.

OBJECTIVE: Large language models (LLMs) are increasingly used as clinical information tools; however, their ability to accurately interpret evidence-b...

Prediction of Articular Cartilage Markers with Multispectral Imaging.

Osteoarthritis (OA) is a debilitating joint disease in which early microstructural and compositional changes in articular cartilage (AC) are challengi...

A System in Motion: The Evolution of Orthopaedic Care in Romania.

➢ Romanian orthopaedic practice has demonstrated a growing uptake of digital infrastructure, including the implementation of robotic-assisted surgical...

Evaluation of the performance of large language models in the management of hip and knee osteoarthritis: analysis of EULAR 2023 recommendations.

BACKGROUND: Clinical practice guidelines play a pivotal role in the management of complex and chronic conditions such as osteoarthritis (OA). However,...

Construction of a prediction model for isolated distal deep vein thrombosis after total knee arthroplasty based on machine learning.

BACKGROUND: Isolated distal deep vein thrombosis (IDDVT) is a common complication after arthroplasty. In this study, we calculated the incidence of ID...

Opportunistic Screening Based on Computed Tomography in Musculoskeletal Radiology: How and Why.

With the rapid growth of the use of computed tomography, advances in artificial intelligence enable opportunistic screening, the systematic extraction...

Validation of Artificial Intelligence in Detecting Acute Cervical Spine Fractures on CT.

BACKGROUND: Cervical spine fractures require prompt and accurate diagnosis to minimize risk of long-term neurological impairment. Artificial intellige...

Enhancing Tenosynovitis Diagnosis With XGBoost: A Machine Learning Approach Using Ultrasound Data.

BACKGROUND: Rheumatoid arthritis (RA) is a systemic autoimmune disorder characterized by chronic inflammation and progressive joint destruction. Tenos...

Radiomics-driven prediction of postoperative infection risk in maxillofacial fractures: multidimensional risk factor analysis and model construction based on absorbable plate fixation.

OBJECTIVES: This study proposes a predictive model that integrates radiological features with multidimensional clinical factors for the accurate predi...

Identification of candidate sex hormone-associated genes and immune infiltration characteristics in osteoarthritis based on bioinformatics analysis and machine learning.

BACKGROUND: Sex hormones play critical roles in the pathogenesis and progression of osteoarthritis (OA), yet the hormone-related molecular networks re...

Deep learning for the diagnosis of lumbar disc herniation: a systematic review and meta-analysis.

BACKGROUND: Lumbar disc herniation (LDH) is a major cause of low back pain and disability worldwide. Although magnetic resonance imaging (MRI) is the ...