Orthopedics

LumbarSR: A Paired Clinical CT and Photon-Counting Micro-CT Dataset for Human Lumbar Vertebrae.

Low back pain affects hundreds of millions of people and is associated with degenerative changes in the lumbar spine. Trabecular bone microarchitecture change is a reasonable contributor to low back pain, but it remains largely invisible on routine clinical CT because typical voxel sizes (500 to 1000 μm) are insufficient to resolve trabeculae (about 100-200 μm). We present LumbarSR, a paired and r...

Annotated digital image correlation displacement fields from fatigue crack growth experiments on aluminium alloys.

We present a curated dataset of planar displacement fields from eight fatigue crack growth experiments obtained via full-field digital image correlation (DIC). The dataset covers multiple aerospace-grade aluminium alloys, specimen geometries, material orientations, and load configurations, providing a diverse experimental basis for data-driven fracture mechanics research. Crack tip locations are c...

Risk prediction models based on machine learning for emergence delirium in elderly patients undergoing spine surgery: development and validation study.

BACKGROUND: Emergence delirium (ED) is a common complication in elderly patients undergoing surgery for degenerative spinal disease (DSD) and is assoc...

Combining structural and microvascular parameters via machine learning for enhanced diagnosis of normal-tension glaucoma among highly myopic eyes: a prospective cross-sectional diagnostic accuracy study.

PURPOSE: This study aimed to evaluate whether a combination of optical coherence tomography (OCT) and OCT angiography (OCTA) parameters could improve ...

Artificial Intelligence Approaches for Osteoporotic Fracture Risk Prediction Using Administrative Health Data: A Systematic Review.

To systematically review Machine Learning (ML) fracture risk prediction models developed solely using administrative data, evaluating their developmen...

Associations of indoor bacterial, metabolomic, and other chemical exposures with allergic rhinitis in school-aged children.

BACKGROUND: The indoor environment has been implicated as a critical factor in the development of allergic diseases. However, the interplay among indo...

Deep Learning Based on Swin-Transformer and 3D U-Net: Implant Three-Dimensional Position Planning.

INTRODUCTION AND AIMS: This study aimed to devise a deep learning-based model for the automated identification of anatomical mandibular lingual concav...

Programmed cell death-related gene S100A9 promotes macrophage M1 polarization and chondrocyte apoptosis in rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is a heterogeneous chronic autoimmune disease. Its high disability rate has a serious impact on individuals and ...

Q-Bone system: an intelligent quantitative system for alveolar bone loss to assist the diagnosis of periodontitis - model development and validation.

OBJECTIVES: To develop and validate the Q-Bone system, an intelligent quantitative system for anatomically driven assessment of alveolar bone loss and...

Impact of machine learning on spare parts availability for critical medical devices: a supervised machine learning perspective.

PURPOSE: This paper seeks to improve the reliability and quality of operation of the critical medical equipment methods through the combination of fai...

The Algorithm Is Already Scrubbed in and Why Orthopaedic Surgeons Must Lead, Not Follow, the AI Revolution: Commentary on: "Artificial Intelligence in Total Hip and Knee Arthroplasty: A Primer on Current Applications, Algorithms, and Future".

Evaluation of an AI-based segmentation model for mandibular fracture segmentation on CBCT using volumetric and 2D slice-based validation approaches.

OBJECTIVE: This study aimed to evaluate the diagnostic performance of an artificial intelligence (AI)-based segmentation model for mandibular fracture...

Identification of a 10-protein plasma signature for preclinical gout risk beyond serum urate: a robustness-first proteomic study in 33,147 normouricaemic individuals.

BACKGROUND: Gout risk assessment is currently reactive, relying on hyperuricaemia. However, a significant clinical gap exists for individuals who deve...

Smartphone-based offline AI for multi-disease retinal screening: Real-world accuracy.

ObjectiveTo evaluate the diagnostic accuracy of a multi-disease offline artificial intelligence system (Medios-AI, MAI), integrated into a smartphone-...

Automated multi-trajectory planning for C1-C2 screw fixation using CT-derived 3D models.

PURPOSE: To evaluate an automated computed tomography (CT)-derived three-dimensional (3D) model-based planning pipeline for C1-C2 screw fixation that ...

Dual-domain radio-frequency signal and image joint modeling for coronary calcium detection in intravascular ultrasound.

Coronary artery disease remains a leading cause of mortality worldwide. Accurate detection and angular quantification of coronary calcification are im...

Identification of Diagnostic Biomarkers Among Metabolism-related Genes in Rheumatoid Arthritis: Insights into Immune Landscape and Molecular Subtype Characterization.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation and joint destruction. Metabolic reprogramming and im...

June 2026: Artificial Intelligence (AI) for Future Breast Cancer Prediction, AI for Fracture Detection, CEUS for O-RADS Ultrasound, and More.

Effectiveness of Artificial Intelligence-Assisted Peer Teaching in Orthopedic Clinical Education: Historical Cohort Study.

BACKGROUND: Peer teaching is an established pedagogical approach in medical education; yet, traditional methods face challenges including inconsistent...

Identification of small-molecule TNF-α inhibitor candidates using machine learning-guided screening and multiscale molecular modelling.

Lumbar disc herniation (LDH) is a major cause of chronic low back pain, in which tumor necrosis factor-alpha (TNF-α) plays a central role in inflammat...