Orthopedics

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 without physical sectioning or chemical staining. However, the intrinsic greyscale contrast of X-ray tomography limits its biochemical specificity compared with traditional histological stains. In this study, we extend deep-learning-based virtual stain...

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 structural failure is essential for guiding treatment and preventing complications. However, conventional assessment tools have limited predictive power, highlighting the need for computational methods capable of simulating disease progression and its mechan...

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...

A single-source preoperative prediction model for recurrent lumbar disc herniation after primary discectomy: Development and internal validation in the SPORT registry.

BACKGROUND: Recurrent lumbar disc herniation (rLDH) follows primary discectomy in 5% to 25% of patients. Existing models often embed postoperative var...

Bone Mineral Density Loss After Kidney Transplantation: Metabolic Determinants, Diagnostic Approaches, and Preventive Strategies.

Mineral and bone disease (MBD) is a frequent complication after solid organ transplantation. The rapid decline in bone mineral density (BMD) during th...

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...

Spinal x-ray based scoliosis diagnosis using deep learning: a comparison of YOLOv11 and ResNet.

OBJECTIVES: To develop and evaluate an automated deep learning framework for scoliosis detection from spinal radiographs and to compare the performanc...

Validation of deep learning enabled software MetronMind to measure vertebral heart size and vertebral left atrial size in dogs.

BACKGROUND: Vertebral heart size (VHS) and vertebral left atrial size (VLAS) are objective radiographic measurements of heart and left atrial size, re...

Can Deep Learning Methods Differentiate Temporomandibular Joint Disorders From Healthy Joints? A 3D Artificial Intelligence Algorithm Study Based on CBCT Images.

BACKGROUND: Given the high difficulty of interpreting complex bone-related temporomandibular joint disorders (TMD) on CBCT scans, developing advanced ...