Latest AI and machine learning research in orthopedics for healthcare professionals.
OBJECTIVES: To develop and evaluate an automated deep learning framework for scoliosis detection from spinal radiographs and to compare the performance of a single-stage YOLOv11-based approach with a two-stage ROI-guided ResNet model. METHODS: A publicly available spinal X-ray dataset was analyzed for key radiographic features, including spinal alignment, lateral curvature, vertebral asymmetry, an...
BACKGROUND: Vertebral heart size (VHS) and vertebral left atrial size (VLAS) are objective radiographic measurements of heart and left atrial size, respectively and are associated with inter- and intraobserver variability when measured by humans. Artificial intelligence (AI) tools to determine VHS and VLAS have been developed and may reduce variability and save time. OBJECTIVES: To compare two man...
BACKGROUND: Given the high difficulty of interpreting complex bone-related temporomandibular joint disorders (TMD) on CBCT scans, developing advanced ...
OBJECTIVE: Osteoporosis is a major global health burden and often remains undiagnosed until fragility fractures occur. Dual-energy x-ray absorptiometr...
BACKGROUND: It remains unclear which patient subgroups benefit most from intensive rehabilitation therapy. OBJECTIVES: This study aimed to examine the...
Dual-energy X-ray absorptiometry (DXA) remains the clinical gold standard for assessing bone mineral density (BMD), guiding diagnosis and therapeutic ...
RATIONALE AND OBJECTIVES: Vertebral fractures (VFs)Â are common, clinically important, and often missed on routine chest or abdominal computed tomograp...
Predicting equivalent permeability in fractured-vuggy carbonate reservoirs is critical for optimizing hydrocarbon recovery and aquifer management yet ...
Autism Spectrum Disorder (ASD) classification from neuroimaging data poses significant challenges due to high data heterogeneity and the complexity of...
BACKGROUND: Body composition is emerging as a prognostic biomarker in cancer and may be associated with treatment tolerance, side-effects, and health-...
Skeletal muscle functions as an endocrine organ, secreting myokines that mediate interorgan communication with bone. Exercise‑induced myokines regulat...
Extensive research exists on artificial intelligence (AI)-assisted fracture detection in various anatomical regions, but clavicle fractures remain com...
This letter discusses methodological considerations arising from the study by Da Costa et al. on deep learning-assisted fracture detection in paediatr...
BACKGROUND: Rebound pain, a sudden increase in pain intensity after resolution of regional anesthesia, remains a major challenge in postoperative pati...
Accurate soleus (SOL) activation assessment is essential for Achilles tendon rupture (ATR) recovery, yet direct measurement remains a clinical challen...
BACKGROUND: Artificial intelligence (AI) has the potential to enhance resource efficiency, improve patient treatment, and increase safety in health ca...
Bone and soft tissue tumors (BSTTs) are prone to metastasize to the lungs to form pulmonary nodules, which are quite different from other metastatic n...
Low back pain affects hundreds of millions of people and is associated with degenerative changes in the lumbar spine. Trabecular bone microarchitectur...
We present a curated dataset of planar displacement fields from eight fatigue crack growth experiments obtained via full-field digital image correlati...