Orthopedics

IShuffleNet-PCNN hybrid classifier within an MResU-Net-based framework for spinal cord injury detection and classification using CT images.

BACKGROUND: Spinal cord injury (SCI) is a serious medical condition. Spinal Cord Injury limits the movement of the body, blocks the nervous system and affects the quality of life of an injured patient. Accurate detection and classification of these fractures are essential for timely diagnosis and treatment planning; however, conventional assessment methods often struggle with noise, variability, a...

Global research trends and hotspots in robot-assisted spinal surgery for spinal deformity: a bibliometric analysis.

This bibliometric study maps the global landscape and evolutionary trajectories of robot-assisted spinal surgery in spinal deformity by analyzing 121 works (75.2% original research) retrieved from the Web of Science Core Collection (2004-2025). Utilizing Bibliometrix, CiteSpace, VOSviewer, SCImago Graphica, and Gephi, the analysis identifies the United States (58 articles, 1,513 citations) and Chi...

SporaScan: cost-effective, high-precision leaf-disc disease severity assessment for grapevine downy mildew.

BACKGROUND: Accurate assessment of disease severity is essential for evaluating fungicide performance and breeding disease-resistant crop varieties. M...

Automated diagnostic system for classification of progression stages of osteoarthritis using magnetic resonance imaging.

INTRODUCTION: Osteoarthritis (OA) is a degenerative joint disease characterized by cartilage loss, synovial fluid imbalance, and bone structural chang...

Analysis of deep learning techniques in computer-aided diagnosis for meniscus injuries: a systematic literature review.

Meniscus informatics is a growing subject of study in the healthcare industry. One of the major hindrances to the healthcare system's transformation i...

Viability of automating the landing error scoring system using inertial measurement units.

The Landing Error Scoring System (LESS) is an assessment tool used for identifying movement patterns linked with non-contact anterior cruciate ligamen...

Artificial Intelligence in Occlusion-Oriented Digital Reconstruction of Maxillofacial Fractures: Current Applications and Translational Challenges.

Maxillofacial fractures require reconstruction of a functional craniofacial unit rather than isolated realignment of fractured bone. Stable occlusion,...

Comparison of responses from google and large language models to the top frequently asked questions on lumbar spinal stenosis: an evaluation of accuracy and completeness.

PURPOSE: Lumbar spinal stenosis (LSS) is a common degenerative spinal condition and a leading cause of pain and disability in adults. With increasing ...

Large language models in spine care and research.

BACKGROUND: Large language models (LLMs) have emerged as powerful transformer-based systems capable of capturing long-range dependencies and complex s...

What predicts prolonged length of stay after surgery for cervical spondylotic myelopathy? A QOD CSM study.

OBJECTIVE: Cervical spondylotic myelopathy (CSM) is a leading cause of spinal cord dysfunction requiring surgical intervention. Prolonged length of st...

Impact of oncological biomarkers and clinical factors on survival outcomes in renal cell carcinoma with spinal metastasis: a retrospective analysis.

OBJECTIVE: Renal cell carcinoma (RCC) is a common malignancy that metastasizes to the spine, leading to complex treatment challenges and reduced survi...

NMR metabolomics and glycomics for cancer detection in patients with non-specific symptoms: a prospective observational cohort study.

BACKGROUND: Early cancer diagnosis in patients with non-specific symptoms is limited by the lack of discriminatory tests. Within the Oxfordshire Suspe...

Validity of Using Artificial Intelligence to Predict Skeletal Maturation in Orthodontic Treatment: A Systematic Review and Meta-analysis.

This systematic review aimed to evaluate the performance and clinical validation of artificial intelligence (AI) and rule-based methods for skeletal m...

AI-derived opportunistic screening using chest radiographs identifies age- and sex-associated bone mineral density patterns and supports earlier osteoporosis evaluation.

UNLABELLED: AI-derived opportunistic screening using routine chest radiographs was evaluated in 6,028 adults and internally validated against DXA in a...

Thigh muscle volume change is associated with longitudinal structural and functional knee osteoarthritis progression - Data from the osteoarthritis initiative.

OBJECTIVE: To investigate the association of change in thigh muscle volume (TMV) with structural knee changes and changes in knee pain and functional ...

Large language models for lumbar spondylolisthesis detection: a multi-center pilot comparative radiographic accuracy study.

INTRODUCTION: Lumbar spondylolisthesis remains a radiographic diagnosis. With the improvement of large language models (LLMs), such as ChatGPT, in int...

Epistemic Asymmetry Between Abstracts and Discussion Sections in the Orthopaedic Literature: A Corpus Analysis of 201 Publications.

BACKGROUND: Abstracts and Discussion sections serve distinct functions: Abstracts are optimized for brevity and impact, while Discussion sections cont...

Detector nonlinearity in measuring the bone mineral density based on neural networks.

A dual-layer flat panel detector (DFD) allows for the acquisition of dual-energy images with a single x-ray exposure without scanning. In this paper, ...

Evaluating the age of rib fractures through 99mTc-MDP SPECT strategy based on a machine learning algorithm: a preliminary study.

Rib fractures are among the most common injuries in traffic accidents. Accurate evaluation of rib fracture age is important as it assists forensic exp...

Identifying the presence of disc herniations in lumbar spine MRI using Gemini 3.1 Pro.

PURPOSE: Lumbar disc herniation is associated with substantial morbidity, including low back pain, radicular leg pain (sciatica), sensory disturbance,...