Orthopedics

fAI-BRO: a multimodal AI decision-support system to address diagnostic delay in fibromyalgia syndrome.

OBJECTIVE: To evaluate the diagnostic accuracy and patient acceptability of fAI-BRO (Fibromyalgia AI-Based Rheumatology Observer), a multimodal artificial intelligence (AI) system integrating video-based visual descriptor analysis and psycholinguistic transcript evaluation, for distinguishing fibromyalgia syndrome (FMS) from other rheumatic and musculoskeletal diseases (RMDs). METHODS: In this cro...

Artificial intelligence for comprehensive skeletal maturity assessment: a unified CBCT-based deep learning framework.

Skeletal maturity assessment is crucial, and the cervical vertebral maturity (CVM), spheno-occipital synchondrosis (SOS), and mid-palatal suture (MPS) are biological markers found in CBCT scans. However, manual staging is inherently subjective, and existing automated methods are site-specific, providing only partial evaluations and failing when regions are missing. Instead, a unified approach woul...

Comparative effectiveness of arthroscopic-assisted uniportal surgery versus percutaneous endoscopic decompression in lumbar spinal stenosis.

Single-level lumbar spinal stenosis (LSS) that does not respond to conservative therapy is now of the standard care given due to minimal invasive deco...

A Website-Based Classification of Cervical Spine Conditions Using Convolutional Neural Network.

Accurate assessment of cervical spine alignment is essential for diagnosing and monitoring cervical spine disorders. However, manual interpretation of...

Dual-input deep learning bone age assessment in late adolescence using hand and knee radiographs.

OBJECTIVE: To develop and internally evaluate an age-assisted dual-input model for bone age assessment in late adolescence using paired hand-wrist and...

Do deep learning models learn beyond average gait? A comparison of architectures, kinematic representations, and marker sparsity for vertical ground reaction force prediction.

BACKGROUND: Vertical ground reaction force (vGRF) is a critical biomarker of joint loading and functional recovery, yet its measurement typically requ...

Unraveling Bone-Skin Crosstalk Enables miRNA Nanoformulation for Cutaneous Neurovascular Reconstruction in Diabetic Mice.

The clinical intractability of diabetic foot ulcers stems from a profound uncoupling of cutaneous neurovascular networks, rendering standard metabolic...

Development and validation of a multimodal deep learning model for the radiographic classification of pediatric femoral neck fractures.

BACKGROUND: An alternative classification system for categorizing pediatric femoral neck fractures (PFNFs) has been shown to have significant clinical...

Multimodal Integration of Gait, Balance, and Infrared Thermography Enhances Machine-Learning Classification of Knee Osteoarthritis: A Cross-Sectional Study.

OBJECTIVE: To investigate whether combining gait, balance, and infrared thermography improves discrimination between individuals with knee osteoarthri...

Unsupervised machine learning derived bone phenotypes exhibit differential biomarker responses following acute ballistic loaded exercise.

Resistance exercise can stimulate new bone formation and result in changes to circulating markers of bone metabolism, but the relationship between the...

Linking vertebral trabecular structure to growth rate: clinical and developmental insights.

OBJECTIVES: To evaluate the effectiveness of chronological age (CA), sex, and fractal dimension (FD) values in classifying skeletal maturation stages ...

[Artificial intelligence in neuro-ophthalmology: prospects, challenges and countermeasures].

Neuro-ophthalmic disorders feature complex etiology. Certain ocular manifestations may hint at severe neurological diseases. Current clinical practice...

Quantitative Investigation of Tibiofemoral Cartilage Early Degeneration After ACL Reconstruction: An Integrated Biomechanical and Longitudinal MRI Analysis.

BACKGROUND: Anterior cruciate ligament reconstruction (ACLR) restores stability but is often followed by early cartilage degeneration. The contributio...

Reproducibility and Validation Challenges in AI-Driven Scaffold Design for Bone Regeneration.

Artificial intelligence (AI) is increasingly applied to bioink formulation and bioprinting process control in tissue engineering (TE). Yet, translatio...

Deep learning embedded latent class joint modelling of time-to-event and longitudinal data.

Joint modelling of longitudinal and time-to-event data is a powerful tool for analysing complex medical data. Joint latent class models (JLCMs), in pa...

Benchmarking neural network personalized musculoskeletal hand models against current personalization standards using experimental magnetic resonance imaging and fine-wire electromyography.

Physics-based musculoskeletal models are often used to understand complex systems, like the human hand. Because generic hand models typically represen...

Performance of DeepSeek-R1 and ChatGPT-5 in the Generation of North American Spine Society Clinical Guidelines for Adult Vertebral Compression Fractures: Comparative Study.

BACKGROUND: Vertebral compression fractures (VCFs) impose a substantial clinical and health care burden, and their management relies on timely access ...

Artificial Intelligence for Evidence Synthesis of Emerging Biologics to Improve Skeletal Health in Osteogenesis Imperfecta: Systematic Review and Meta-Analysis.

BACKGROUND: Osteogenesis imperfecta (OI) is a rare genetic disorder characterized by bone fragility and recurrent fractures. Emerging biologics demons...

Image-guided multiscale modeling of trabecular bone: lacuna-resolved stress amplification and interaction effects.

Osteocyte lacunae are ubiquitous microstructural cavities in bone that perturb local stress and strain fields, shaping the mechanical microenvironment...

Air pollution and autism-like traits: sensitive periods and joint effects of exposure to sources and constituents of fine particulate matter.

Growing evidence suggests that exposure to air pollution during early life is associated with autism spectrum disorder (ASD). However, results have be...