Orthopedics

Joint-Shrinkage Pattern Matching for Small-Sample and Imbalanced ERP Decoding in Brain-Computer Interfaces.

Event-related potential (ERP)-based brain-computer interface (BCI) systems are approaching sub-microvolt-level resolution, enabling detailed decoding of sophisticated cognitive processes. This progress has increased the demand for robust classifiers. Current algorithms encounter two fundamental challenges when decoding ERPs: data scarcity and class imbalance. To address these challenges, we propos...

Leveraging Rich Mechanical Features and Long-Range Physical Constraints for Lumbar Spine Stress Analysis.

OBJECTIVE: The biomechanical properties of the lumbar spine is crucial for assisting the diagnosis, treatment, and prevention of spinal diseases. Traditional biomechanical analysis methods, especially the finite element analysis, require extensive computational resources, precise material property definitions, and complex meshing processes to accurately model the biomechanical behavior of the lumb...

Deep Learning-Based Surrogate Model of Subject-Specific Finite-Element Analysis for Vertebrae.

Subject-specific finite-element analysis (FEA) models enable accurate simulation of vertebral biomechanics but are often time-consuming to construct a...

Comparing the Efficacy Between ChatGPT 5, Grok 3, and Claude 4.5 Sonnet in Analyzing Orthopedic Trauma-Related Imaging.

OBJECTIVES: To evaluate and compare the ability of three popular open-source artificial intelligence platforms to diagnose common trauma-related fract...

End-to-End Autonomous Quantification of Brain Aneurysm and Parent Artery Morphology at CT Angiography.

Purpose To develop and validate an end-to-end autonomous platform for the quantification and visualization of brain aneurysm and parent artery morphol...

Paired CycleGAN-based virtual staining for 3D X-ray histology of bone-implant systems.

Three-dimensional X-ray histology offers a non-invasive alternative to conventional 2D histology, enabling volumetric imaging of biological tissues wi...

A Fully Automated Pipeline for Vertebral Structural Assessment From Medical Images. Application Under Metastatic Conditions.

Spinal bone metastases often lead to vertebral fractures and other skeletal events that severely affect patients' quality of life. Predicting structur...

Review of the SWIR Windows to Study Osteoarthritis.

Due to minimal absorption and scattering, light at select wavelengths in the short wavelength infrared (SWIR: 1000-2500 nm) region can be utilized for...

Autonomous robotic execution of nonlinear toolpaths for geometry-matched osteotomy in tooth autotransplantation: an in vitro study.

Tooth autotransplantation requires recipient socket preparation that matches donor root morphology while preserving surrounding bone. We developed an ...

Comment on "an interpretable machine learning tool for predicting perioperative cardiac events in patients scheduled for hip fracture surgery: insights from the multicenter LUSHIP study".

Multitask learning of longitudinal circulating biomarkers and clinical outcomes: identification of optimal machine-learning and deep-learning models.

BACKGROUND: Many circulating biomarkers are assessed at different time intervals during clinical studies. Despite of the success of standard joint mod...

Elucidating the mechanism of taurine in alleviating osteoarthritis progression based on bioinformatics, machine learning algorithm, and experimental validation.

BACKGROUND: Ferroptosis, a form of regulated cell death driven by iron-dependent lipid peroxidation, plays a pivotal role in chondrocyte death and the...

Integrated Multi-Omics Identification of Novel Diagnostic Biomarkers and Immunometabolic Therapeutic Targets in Osteoporosis via Machine Learning.

INTRODUCTION: Osteoporosis (OP) is a multifactorial skeletal disorder marked by reduced bone mass and microstructural deterioration. We investigated p...

Deep Learning Network-Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration.

Pathological microenvironments linked to aging, trauma, malignancies, and metabolic disorders significantly hinder bone fractures and frequently resul...

Artificial intelligence demonstrates comparable diagnostic accuracy to radiologists for anterior cruciate ligament tears on MRI: A systematic review and meta-analysis.

PURPOSE: Anterior cruciate ligament (ACL) tears are among the most common knee injuries, accounting for half of all knee ligament injuries. Magnetic r...

Artificial intelligence in rheumatology: a cross-sectional Scopus-based analysis.

Artificial intelligence (AI) is increasingly used in clinical medicine. Rheumatology is well-suited to AI applications due to diagnostic complexity of...

Generative Artificial Intelligence and 3D Printing in Craniomaxillofacial Deformities: A Narrative Review of Emerging Synergies.

Craniomaxillofacial deformities are primarily caused by congenital anomalies, trauma, or postoperative defects following tumor resection, involving bo...

Artificial Intelligence Answering Femoroacetabular Impingement Patient Questions: Helpful Tool or Harmful Risk? Evaluating NIPRGPT Answers to Frequently Asked Questions About Femoroacetabular Impingement.

INTRODUCTION: As patients increasingly seek medical information online, artificial intelligence (AI) chatbots like NIPRGPT-the most widely available A...

Machine Learning-Based Identification and Ranking of Mortality Predictors After Hip Fracture Surgery: An Analysis of the Australian and New Zealand Hip Fracture Registry.

BACKGROUND: Hip fractures are a major global health issue with high mortality and morbidity, especially in older adults. One-year mortality post-surge...

Automated radiographic shoulder balance assessment in scoliosis via deep learning.

The objective of this study was to develop an automated deep learning-based method for the assessment of shoulder balance in adolescent idiopathic sco...