Rheumatology

Arthritis

Latest AI and machine learning research in arthritis for healthcare professionals.

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ITGAV, a specific biomarker associated with the pathogenesis of idiopathic pulmonary fibrosis.

Objective Idiopathic pulmonary fibrosis (IPF), which radiologically/pathologically manifests mainly ...

IL-17A, IL-17F, and IL-23 in Patients with Rheumatoid Arthritis.

The aim of the study was to determine the clinical and diagnostic value of IL-17A, IL-17F, and IL-23...

Synovial fluid alpha-2-macroglobulin, gelsolin and lubricin distinguish between osteoarthritic and healthy equine joints.

BACKGROUND: Synovial fluid (SF) is an ideal sentinel fluid for osteoarthritis (OA) diagnosis and pro...

OA-HybridCNN (OHC): An advanced deep learning fusion model for enhanced diagnostic accuracy in knee osteoarthritis imaging.

Knee osteoarthritis (KOA) is a leading cause of disability globally. Early and accurate diagnosis is...

Recent advances in omics and the integration of multi-omics in osteoarthritis research.

Osteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic fac...

Digital health tools in juvenile idiopathic arthritis: a systematic literature review.

BACKGROUND: Nowadays, digital health technologies, including mobile apps, wearable technologies, soc...

Machine learning analysis of FOSL2 and RHoBTB1 as central immunological regulators in knee osteoarthritis synovium.

BackgroundKnee osteoarthritis is a debilitating disease with a complex pathogenesis. Synovitis, whic...

Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.

Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly ...

Feasibility of human ethomic biomarkers for the diagnosis and monitoring of hip osteoarthritis.

Radiographic imaging is typically used to diagnose osteoarthritis (OA). However, patients would typi...

Can Artificial Intelligence Diagnose Knee Osteoarthritis?

This study analyzed the capability of GPT-4o to properly identify knee osteoarthritis and found that...

Accuracy of machine learning in identifying candidates for total knee arthroplasty (TKA) surgery: a systematic review and meta-analysis.

BACKGROUND: The application of machine learning (ML) in predicting the requirement for total knee ar...

Advancing osteoarthritis research: the role of AI in clinical, imaging and omics fields.

Osteoarthritis (OA) is a degenerative joint disease with significant clinical and societal impact. T...

Classification of Grades of Subchondral Sclerosis from Knee Radiographic Images Using Artificial Intelligence.

Osteoarthritis (OA) is the most common joint disease, affecting over 300 million people worldwide. S...

Leveraging multi-modal feature learning for predictions of antibody viscosity.

The shift toward subcutaneous administration for biologic therapeutics has gained momentum due to it...

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