Rheumatology

Arthritis

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

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Neural networks for automatic scoring of arthritis disease activity on ultrasound images.

BACKGROUND: The development of standardised methods for ultrasound (US) scanning and evaluation of s...

Diagnosing osteoarthritis from T maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort.

OBJECTIVE: We aim to study to what extent conventional and deep-learning-based T relaxometry pattern...

Machine learning identifies an immunological pattern associated with multiple juvenile idiopathic arthritis subtypes.

OBJECTIVES: Juvenile idiopathic arthritis (JIA) is the most common class of childhood rheumatic dise...

Detection of rheumatoid arthritis from hand radiographs using a convolutional neural network.

INTRODUCTION: Plain hand radiographs are the first-line and most commonly used imaging methods for d...

Analysis of differentially expressed genes in rheumatoid arthritis and osteoarthritis by integrated microarray analysis.

BACKGROUND: Rheumatoid arthritis (RA) and osteoarthritis (OA) were two major types of joint diseases...

Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis.

IMPORTANCE: Knowing the future condition of a patient would enable a physician to customize current ...

The Effect of the Prethanol Extract of Trifolium pratense Leaves on Interleukin-1β-Induced Cartilage Matrix Degradation in Primary Rat Chondrocytes.

BACKGROUND: Osteoarthritis (OA) is a degenerative joint disease, characterized by cartilage degradat...

A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative.

This paper presents a fully developed computer aided diagnosis (CAD) system for early knee OsteoArth...

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.

PURPOSE OF THE REVIEW: Rheumatoid arthritis (RA) is a chronic, autoimmune disease which may result i...

Total Knee Arthroplasty Is Safe and Successful in Patients With Klippel-Trénaunay Syndrome.

BACKGROUND: Klippel-Trénaunay syndrome (KTS) is a severe vascular malformation that can lead to hype...

Serum hepcidin level and rheumatoid arthritis disease activity.

OBJECTIVE: The present study aimed to determine the relationship between the serum hepcidin level an...

Serum Procalcitonin and Presepsin Levels in Patients with Generalized Pustular Psoriasis.

Patients with generalized pustular psoriasis (GPP) often present with symptoms that must be differen...

Pain management after total knee arthroplasty: A prospective randomized study.

INTRODUCTION: Total knee arthroplasty (TKA) is a common procedure for improving mobility and quality...

Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models.

OBJECTIVE: Limited evidences are available on biomarkers to recognize Systemic Lupus erythematosus (...

eDRAM: Effective early disease risk assessment with matrix factorization on a large-scale medical database: A case study on rheumatoid arthritis.

Recently, a number of analytical approaches for probing medical databases have been developed to ass...

Automated classification of benign and malignant lesions in F-NaF PET/CT images using machine learning.

PURPOSE: F-NaF PET/CT imaging of bone metastases is confounded by tracer uptake in benign diseases, ...

Translation of morphological and functional musculoskeletal imaging.

In an effort to develop quantitative biomarkers for degenerative joint disease and fill the void tha...

Drug Repurposing Prediction for Immune-Mediated Cutaneous Diseases using a Word-Embedding-Based Machine Learning Approach.

Immune-mediated diseases affect more than 20% of the population, and many autoimmune diseases affect...

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