Orthopedics

Dual-Approach AI for Pediatric Supracondylar Fractures: Multiclass Radiograph Classification with Explainable AI and Diagnostic Meta-analysis of AI-Based Computational Approaches.

RATIONALE AND OBJECTIVES: Pediatric supracondylar fractures (SCFs) are the most common elbow injury in children, yet radiographic diagnosis remains challenging due to complex developmental anatomy, with initially missed fracture rates of 17-77%. Prior artificial intelligence (AI) studies have been limited to binary classification frameworks without Gartland subtype differentiation, and no diagnost...

Automated detection of active and structural MRI lesions in the sacroiliac joints in axial spondyloarthritis: training and validation across 3 phase III clinical trial datasets.

OBJECTIVES: This study aims to assess the performance of a fully automated deep learning (DL) system for detecting active and structural magnetic resonance imaging (MRI) lesions of the sacroiliac joints (SIJs) in axial spondyloarthritis (axSpA), and validate its generalisability across independent clinical trial datasets. METHODS: A 2-stage automated pipeline was developed to delineate left and ri...

Integrated Toxicogenomic Analysis Reveals Potential Molecular Signatures Associated with Cadmium-Related Osteoarthritis.

Osteoarthritis (OA) is a common chronic joint disease, and cadmium (Cd) exposure may contribute to its progression. This study integrated network toxi...

Bibliometric analysis of 50 years of publications in Skeletal Radiology (1976-2025): trends, impact, and global collaboration patterns.

OBJECTIVE: To conduct a comprehensive bibliometric analysis of 50 years of publications in Skeletal Radiology to evaluate publication trends, citation...

Predicting the need for syrinx shunting after posterior fossa decompression in Chiari I malformation: a real-world machine learning analysis.

OBJECTIVE: The aim of this study was to develop and validate a machine learning (ML) algorithm to predict the delayed need for syrinx shunt placement ...

Understanding coronoid process morphology and O'Driscoll Type 1 and Type 2 fracture patterns through 3D fracture and heat mapping techniques.

BACKGROUND: Coronoid process fractures, which comprise 10-15% of elbow injuries, are critical contributors to joint instability but remain poorly char...

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

Development and Validation of a Computer-Assisted Screw Trajectory Planning Model Based on Iterative Closest Point Registration and Weighted K-Nearest Neighbors Algorithms for Cortical Bone and Pedicle Screw Techniques.

Study DesignRetrospective study.ObjectivesTo develop and validate a computer-assisted model for planning screw trajectories to support modified cortic...

Alignment Between Large Language Models and Consensus in Endoscopic Spinal Disc Surgery: A Comparative Analysis Against the Neurocore-SENSED.

BACKGROUND: The Neurocore-SENSED framework, derived from a three-round modified Delphi process involving 77 international spine surgeons, provides a s...

Robot-assisted surgery for degenerative lumbar spine diseases: a disease-specific bibliometric and knowledge-mapping analysis.

Robot-assisted spine surgery has expanded from navigation-guided pedicle screw placement to broader minimally invasive and intelligent surgical workfl...

Artificial Intelligence-Assisted Cone-Beam Computed Tomography Analysis in Alveolar Ridge Preservation: A Narrative Review.

Alveolar ridge preservation (ARP) after tooth extraction depends on accurate three-dimensional bone assessment to optimize implant placement and prost...

Deep Learning Method Based on Multimodal Medical Image Fusion for Predicting Acute Vertebral Fracture.

RATIONALE AND OBJECTIVES: The study aimed to develop and validate a deep learning (DL) model based on X-ray and computed tomography (CT) to diagnose a...

Population-scale modeling of the natural knee: automated segmentation, finite element simulation, and machine learning prediction of time-series joint mechanics.

This study combined automated medical image segmentation, hexahedral meshing, and dynamic finite element stance-phase gait simulations with statistica...

From wild to domestic: Single-cell transcriptomic perspectives on hippocampal regulation and evolution.

How domestication shapes brain evolution remains an open question. In this study, we integrated single-nucleus RNA sequencing (snRNA-seq), population ...

An exploratory bibliometric analysis of robot-assisted ligament repair and reconstruction surgery worldwide.

This bibliometric study aims to map the global research landscape of robot-assisted ligament repair and reconstruction surgery from 2016 to 2025, iden...

Artificial intelligence-based versus conventional preoperative templating for tibial and femoral component size estimation in total knee arthroplasty: a systematic review and meta-analysis.

BACKGROUND: Preoperative templating supports total knee arthroplasty (TKA) planning, and AI-assisted tools are increasingly used to improve component-...

AMD1 regulates cysteine metabolism and ferroptosis sensitivity in rheumatoid arthritis fibroblast-like synoviocytes.

BACKGROUND: Rheumatoid arthritis (RA) is characterized by synovial inflammation and hyperplasia, with fibroblast-like synoviocytes (FLS) playing a key...

Guideline-Based Evaluation of Five Generative Artificial Intelligence Chatbot Platforms for Clinician-Oriented Questions on Open Temporomandibular Joint Surgery.

OBJECTIVE: To compare the quality and readability of responses from five generative artificial intelligence chatbot platforms to clinician-oriented qu...

Large language models in the vertical integration of spine surgery workflow: a scoping review.

PURPOSE: To evaluate current evidence regarding the clinical reliability and reasoning capabilities of Large Language Models (LLMs) and Multimodal Lar...

Automated segmentation and length measurement of metacarpal and phalangeal bones for hand radiograph evaluation.

Evaluating hand and wrist radiographs is essential in pediatric endocrinology and clinical genetics, particularly for the assessment of suspected skel...