Orthopedics

A method for the assessment of rheumatoid arthritis using neural network supported static and dynamic thermal analysis.

Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by pain, swelling, stiffness, and loss of joint function, making early diagnosis challenging. The study aims to assess the differences between RA patients (n = 70) and healthy individuals (n = 30) while classifying Ritchie Articular Index (RAI) values (0-3) based on inflammation levels using artificial intelligence algorithm...

Integration of protein and metabolomic blood biomarkers enhances classification of radiation exposure in X-irradiated humanized mice.

PURPOSE: The general population is at risk of exposure to ionizing radiation due to nuclear warfare, terrorism, or radiological accidents. Such exposures can lead to acute radiation syndrome (ARS), a set of debilitating and often fatal health effects that start within the first week after irradiation. ARS is largely defined by injuries to the bone marrow and intestinal tract, two organ systems tha...

Enhanced swin transformer with dual attention for knee osteoarthritis severity grading from X-ray images.

Osteoarthritis of the knee (OA) is a common degenerative condition that affects quality of life and mobility, especially in older adults. For disease ...

Can classification strategies improve automated cervical vertebral maturation staging? A comparative study.

Deep Learning for Medical Ultrasound Image Segmentation: A Systematic Review of the Current Research.

Deep learning (DL) has enabled automated segmentation of ultrasound images, and due to the rapid development of DL models, we want to offer a comprehe...

Identification of rheumatoid arthritis manganese metabolism-related diagnostic biomarkers through bulk and single-cell RNA sequencing analysis.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized primarily by synovial inflammation, often resulting in progressiv...

Identification of biomarkers associated with endoplasmic reticulum stress-related cell death in osteoporosis based on bulk and single-cell transcriptomic analyses and experimental validation.

Osteoporosis (OP) is a metabolic bone disease characterized by low bone mineral density (BMD), and its pathogenesis involves endoplasmic reticulum (ER...

Cross-platform deep learning enables automated cytomorphologic subtyping of acute leukemia from bone marrow smears.

Accurate subtyping of acute leukemia is essential for guiding therapy and predicting patient outcomes. Morphological assessment remains challenging fo...

Editorial Commentary: From Tendon Wars to Mars: Why the Quadriceps Might Be the Last Autograft Standing.

In 2026, we are sending probes to Mars, mining metals from asteroids, and debating whether artificial intelligence should write our operative notes, y...

Bulk and single-cell transcriptome analyses combined with molecular simulations identify ferritinophagy as a key target for resveratrol in osteoarthritis.

The pathophysiology of osteoarthritis (OA), a common degenerative joint disease, is complicated. The significance of autophagy irregularities and iron...

Artificial intelligence in orthopedic trauma surgery: a scoping review of current applications and research gaps.

Editorial for "Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis".

Machine learning-based risk predictive model for postoperative refractures in patients with osteoporotic vertebral compression fractures: a systematic review and critical appraisal.

Artificial intelligence in the management of sports knee injuries: a narrative review.

INTRODUCTION: Sports-related knee injuries are common and debilitating, often leading to chronic pain, early osteoarthritis, and reduced performance. ...

Assessing the Performance and Reliability of Deep Learning Auto-Segmentation in Videofluoroscopic Swallowing Studies: A Systematic Review and Meta-Analysis.

OBJECTIVE: To systematically evaluate the accuracy and reliability of deep learning-based auto-segmentation methods in videofluoroscopic swallowing st...

A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening.

Interpretability remains one of the major challenges in the clinical adoption of deep learning models for medical image analysis. In ophthalmology, pa...

Automated knee MRI segmentation with KneeSeg-U for cartilage and bone extraction using an unsupervised deep learning framework.

Spinal morphology-based multimodal AI for predicting pulmonary dysfunction in adolescent idiopathic scoliosis.

Comparison of GPT-4 omni and physicians for accurate evaluation of traumatic extremity x-rays: A feasibility study.

GPT-4 omni (GPT-4o) is the latest version of Chat-GPT, developed by OpenAI, which provides image interpretation capabilities. In trauma patients, x-ra...

FDG-PET Medullary Total Tumor Volume Highlights High-Risk Newly Diagnosed Multiple Myeloma Patients in CASSIOPEIA Trial.

This study aimed to assess the prognostic value of medullary total metabolic tumor volume (mTMTV) derived from fluorodeoxyglucose-positron emission to...