Orthopedics

Quantitative and qualitative motion analysis for early detection of joint damage in haemophilia patients: study protocol for a pilot feasibility study at a German haemophilia treatment centre.

INTRODUCTION: Joint bleeds are the most significant complication in haemophilia, leading to functional impairment and reduced quality of life. Repeated bleeding during early childhood can cause severe physical limitations in adulthood. Early detection of joint damage, combined with therapeutic interventions, has a huge impact on mobility, physical health and long-term quality of life. METHODS AND ...

A deep joint-learning proteomics model for diagnosis of six conditions associated with dementia.

Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathological diagnosis are not available for most neurodegenerative neuropathologies. Here we present Proteomics-based Artificial Intelligence for Dementia Diagnosis (ProtAIDe-Dx), a deep joint-learning model ...

Radiographic choice for skeletal maturation assessment: a systematic review of Cervical Vertebrae Method and Middle Phalanx Method.

Machine Learning Prediction of Prevertebral Soft Tissue Swelling after Single-Level Anterior Cervical Surgery : A Proof-of-Concept Study.

OBJECTIVE: Prevertebral soft tissue swelling (PSTS) is a significant complication of anterior cervical spine surgery (ACSS) that causes dysphagia, dys...

Artificial intelligence in pediatric endocrinology: clinical applications, governance, and future directions.

PURPOSE OF REVIEW: Artificial intelligence has transitioned from theoretical promise to practical implementation across medicine including pediatric e...

Technical challenges and quality considerations for dissolving microneedles.

Dissolving microneedles (DMNs) deliver therapeutic molecules by bypassing the stratum corneum upon skin insertion. While DMNs show potential for trans...

Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening.

Abdominal aortic calcification (AAC), a marker of subclinical cardiovascular disease, has previously shown to be associated with low BMD and fracture....

[Risk adjustment as a prerequisite for quality assessment in certification and registry analyses].

BACKGROUND: Quality assessment in arthroplasty is gaining increasing importance in the context of growing transparency requirements in healthcare syst...

Intraoperative full-spine imaging with C-arm using a deep learning-based automatic stitching model: development and clinical validation.

A two-stage deep learning system for cervical spine fracture diagnosis: integrating 3D segmentation and 2.5D classification on CT images.

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 diagn...

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 exposu...

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...