Orthopedics

In reply to the letter to editor regarding "Artificial intelligence in spine surgery: a scoping review".

Mechanics, Fracture, and Fragmentation of Thrombi: A Computational Study Review.

Thrombosis drives myocardial infarction, acute ischemic stroke and pulmonary embolism, yet more than half of patients undergoing mechanical thrombectomy fail to achieve functional independence, and residual thrombus is detected in up to 91% of cases after catheter-directed thrombolysis. These persistent clinical failures reflect a fundamental gap: thrombus removal is not merely dissolution or extr...

The global contributions and emerging trends of extended reality-driven transformation in orthopedic surgical education: a bibliometric study.

Extended reality (XR) technologies have made remarkable progress and been widely applied in orthopedic surgical education, offering a valuable and inn...

Global research trends in artificial intelligence-integrated robot-assisted spine surgery: a bibliometric and visualized analysis.

This study aims to employ bibliometric analysis methods to systematically review the current research progress, developmental trajectory, and emerging...

The High-Intensity Zone: A Dynamic Inflammatory Hub in Lumbar Disc Degeneration.

The lumbar intervertebral disc high-intensity zone (HIZ), a focal hyperintensity within the annulus fibrosus on T2-weighted magnetic resonance imaging...

MULTIPREVENT: Integrated screening for smoking-related multimorbidity using low-dose chest computed tomography.

OBJECTIVES: Tobacco consumption, combined with individual genetic predispositions, contributes to an age-dependent risk not only for lung cancer but a...

DINCH Exposure Contributes to Osteoarthritis Pathogenesis via TSPO-Mediated Chondrotoxicity: Evidence from In Silico Prediction to Experimental Validation.

Diisononyl cyclohexane-1,2-dicarboxylate (DINCH), a widely used plasticizer substitute, has been widely detected in human populations and has emerged ...

What Would Be the Ideal Robotic Companion in Orthopaedic Surgery in 10 Years?

BACKGROUND: Robotic-assisted surgery is now an established part of contemporary orthopaedic practice, particularly in knee arthroplasty, where it has ...

Accelerated 7T 3D DESS MR Neurography of the Cervical Spine Using CS-CAIPIRINHA and Deep Learning Reconstruction.

OBJECTIVE: To evaluate the potential of combined coherent and incoherent undersampling with deep learning (DL) reconstruction for highly accelerated h...

Diagnostic Performance of Large Language Models for Orthopedic-Related Rare Diseases and Their Impact on Physicians' Diagnostic Accuracy: 2-Stage Comparative Evaluation Study Based on the Chinese Rare Disease Catalog.

BACKGROUND: Orthopedic-related rare diseases are difficult to diagnose because of their low prevalence, heterogeneous phenotypes, and fragmented knowl...

Performance of multimodal large language models versus clinicians for radiographic knee osteoarthritis grading: A multiobserver study.

OBJECTIVE: To compare the performance of clinicians and two generations of multimodal large language models (LLMs) in Kellgren-Lawrence (KL) grading o...

Femoral Stem Version in Primary Hip Arthroplasty: Challenges and Advances in 3D Planning.

» Native femoral version (NFV) demonstrates inconsistent correlation with prosthetic femoral version (PFV) and should not be relied upon in isolation ...

Four general-purpose large language models (ChatGPT-5, Claude 4, Grok 4 and Gemini 2.5) show comparable performance in specialised total knee arthroplasty clinical questions.

PURPOSE: To evaluate and compare the performance of four general-purpose large language models (LLMs) (ChatGPT-5, Claude 4, Grok 4 and Gemini 2.5) in ...

Advancing spine connectomics and neural integration through machine learning and neuroengineering: a narrative review.

PURPOSE: Spinal connectomics is increasingly shifting understanding of the spinal cord from a simple reflex relay toward an active system that contrib...

Intelligent recognition and segmentation of anatomical structures in spinal endoscopy: a deep learning approach with 1000 annotated images.

BACKGROUND: Accurate intraoperative identification of anatomical structures is critical for ensuring the safety and efficacy of spinal endoscopic surg...

Zebrafish as a versatile model in biomedical research, from disease modeling to regenerative medicine: a review.

Zebrafish are an effective animal model widely utilized in biomedical research. They are known for their rapid reproduction and substantial genetic si...

AI-Assisted Engineering of Glycyrrhizic Acid/Simvastatin Nanocrystals for Multifunctional Treatment of Bacterial Osteomyelitis.

Bacterial osteomyelitis remains a formidable challenge in clinic because existing monotherapies fail to block inevitable infection, uncontrolled infla...

Performance of GPT-4o and Claude in Medical Ethics Scenarios: Comparative Study.

BACKGROUND: The emergence of AI technology has sparked curiosity regarding the capabilities of large language models (LLMs) in the field of medicine. ...

Clinically aligned artificial intelligence for glaucoma diagnosis: enhancing retinal nerve fibre layer interpretation from fundus images.

BACKGROUND/OBJECTIVES: This study aimed to develop an interpretable artificial intelligence (AI) screening system that replicates a specialist's evalu...

Weightbearing CT Evaluation of Contact and Distance Mapping of the First Tarsometatarsal and Metatarsophalangeal Joints Following MIS Hallux Valgus Correction.

BackgroundThree-dimensional distance and coverage mapping (DM and CM) generated through weightbearing CT (WBCT) can aid in understanding the complex a...