Orthopedics

Acceptability, deviation, and efficiency of automated artificial intelligence-based implant planning methods: A comparison with human intelligence.

PURPOSE: To evaluate the acceptability, deviation, and efficiency of two automated, artificial intelligence-driven implant planning methods compared with a human-based approach for single-tooth replacement. MATERIALS AND METHODS: Data of 32 patients, involving a single edentulous span, were retrospectively obtained, including cone-beam computed tomography (CBCT) and intraoral scans. Three implant ...

Lower odds of prevalent vertebral fractures with b/tsDMARD use among rheumatoid arthritis patients in clinical remission: a retrospective observational study.

OBJECTIVES: This study investigated serum pentosidine levels as an advanced glycation end product (AGE)-related marker of bone matrix deterioration and examined the association between b/tsDMARD use and prevalent vertebral fractures in patients with RA in clinical remission. METHODS: Seventy-six patients with RA in clinical remission (DAS28-CRP < 2.3) were included. Serum pentosidine, bone turnove...

Neural Motion Path: a Path-based Authoring System for Pre-rendered Character Animation.

Authoring high-quality character animation is essential in multimedia production, especially for pre-rendered formats such as films and TV series. The...

Sensory nerves protect against preclinical tendinopathic changes through FGF1 signaling.

Chronic tendinopathy is typified by persistent tendon-associated pain, transmitted by local nociceptive neurons. However, the regulatory function of s...

An interpretable multi-task learning model for effluent quality and greenhouse gas emissions prediction in wastewater treatment plants.

Wastewater treatment plants (WWTPs) face growing pressure to comply with regulatory effluent standards while reducing greenhouse gas (GHG) emissions a...

Prediction of Oswestry Disability Index and Numeric Rating Scale scores after lumbar spine surgery: machine learning model development and fairness assessment.

BACKGROUND: One-third of patients operated for degenerative conditions in the lumbar spine do not report substantial improvement after 12 months. Most...

Canadian radiology: 2026 update.

Canadian radiology continues to produce scholarship that is technically sophisticated, clinically relevant, and increasingly attentive to the wider sy...

UveAI: clinic-ready scoring of retinal inflammation in uveitis on widefield fluorescein angiography using AI.

Retinal inflammation is a key determinant of visual prognosis in uveitis, yet its assessment on fluorescein angiography remains subjective, labor-inte...

Validation of deep learning enabled web based and smartphone optimized application RadAnalyzer to measure vertebral heart size and vertebral left atrial size in dogs.

BACKGROUND: Objective radiographic measures of heart size including vertebral heart size (VHS) and vertebral left atrial size (VLAS) are associated wi...

Genetics of Osteoarthritis: Insights from GWAS to Therapeutic Opportunities.

OBJECTIVE: Osteoarthritis is the most common joint disease and a leading cause of pain and disability worldwide, affecting both weight-bearing and non...

Optimizing treatment strategies for femoral neck fractures using a machine learning model.

BACKGROUND: Recently, advances in machine learning models have allowed for automatic and highly accurate detection of fractures. To date, however, no ...

Research progress of diffusion tensor imaging in lumbar degenerative diseases: a narrative review.

Degenerative diseases of the lumbar spine are a common cause of chronic low back pain and neurological dysfunction. Their pathological basis involves ...

Vertebral fractures identified on lateral DXA images by deep learning predict incident fractures in older women.

UNLABELLED: XVFA is an AI-based method for identifying vertebral fractures on DXA images. In 423 women followed for 8 years, vertebral fractures ident...

Response to: Comment on 'Risk prediction in spine surgery: a scoping review of traditional models, artificial intelligence, and the challenge of clinical translation'.

Artificial Intelligence (Pattern Recognition) in Musculoskeletal Imaging: The Future or Hype?

Artificial intelligence and automated pattern recognition, in particular, have been described as the next frontier in musculoskeletal imaging. However...

Robot-assisted lumbar facet joint infiltration improves accuracy and reduces radiation exposure compared to the manual technique in a comparative phantom study.

Compact robotic systems offer new opportunities for spinal procedures outside the operating room, but their potential for small-scale interventions su...

Spatiotemporal skeleton based learning for automatic exercise quality assessment and real time posture correction.

BACKGROUND: Home-based fitness training requires automated systems for exercise quality assessment and real-time posture correction without profession...

Lumbar, thoracic, and bilateral vertebral body tethering: do surgical outcomes differ?

PURPOSE: VBT is increasingly being used in the lumbar spine to preserve mobility. Surgeons have noted differences in complications and outcomes among ...

Enhancing Anatomy Learning Through Enhanced 3D Visualization: A Study on Student Perception and Engagement in Museum-Based Education.

Effective anatomy education is essential for medical training. While traditional anatomy instruction provides essential foundational knowledge, its ef...

MultiScaleKANNet: a hybrid CNN-KAN-transformer architecture for radiographic bone-loss risk stratification from knee X-rays.

Osteoporosis is underdiagnosed because dual-energy X-ray absorptiometry (DXA) is costly and scarce. We present MultiScaleKANNet, a hybrid deep-learnin...