Arthritis

Evaluating machine learning tools to assist title and abstract screening in systematic literature reviews: a report based on the EULAR RA Management Recommendations Task Force.

OBJECTIVES: Systematic literature reviews (SLRs) provide the scientific basis for European Alliance of Associations for Rheumatology (EULAR) task force projects, but they are highly time- and labour-intensive in an ever-growing research landscape, repetitive, and susceptible to human error. In this study, we evaluate the performance of machine learning (ML) models developed for semiautomated title...

A large-scale vision foundation model for musculoskeletal radiographs.

Artificial intelligence (AI) has shown promise in detecting and characterizing musculoskeletal diseases from radiographs. However, most existing models remain task-specific, annotation-dependent, and limited in their adaptability across diseases and anatomical regions. Although a comprehensive foundation model trained on large-scale musculoskeletal radiographs is clinically needed, publicly availa...

Detecting inflammatory arthritis in hand smartphone photographs: development and validation of a computer vision model in clinical settings.

OBJECTIVE: Computer vision can classify inflammatory arthritis on smartphone photographs. We aimed to train, validate and judiciously choose a model f...

Targeting Type 2 and Non-type 2 Asthma: Emerging Biologics and Personalized Strategies.

PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of people and causing significant morbidity. It is immuno...

Bridging Generations: Leveraging Technology and Artificial Intelligence for Better Research, Outreach, and Daily Practice.

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2025 annual meeting hosted a workshop entitled "Bridging generatio...

Exosomes in bone health and disease: cellular crosstalk, systemic signaling, and AI-driven advances in regenerative therapy.

Exosomes have emerged as critical mediators of intercellular and inter-organ communication in bone biology. Secreted by bone-resident cells such as os...

Capturing multi-disease states on a spectrum with machine learning and routine clinical data.

BACKGROUND: Diseases exist on spectra of risk factors, cellular perturbations, organ dysfunction, and clinical manifestations. It is unknown whether t...

Elevated ST2+ Tregs in RA-ILD: correlation with pulmonary fibrosis and the IL-33/ST2/AREG axis.

BACKGROUND: Interstitial lung disease (ILD) represents a significant extra-articular complication associated with rheumatoid arthritis (RA), contribut...

Traumatic Inflammatory-Coagulation Coactivation Occurs Early After Injury and Impacts Mortality.

OBJECTIVES: Acute traumatic coagulopathy is known to occur early following severe injury. However, the role and impact of both pro- and anti-inflammat...

Review of systemic therapy in HCC with an approach to response assessment in clinical practice.

Systemic therapy for hepatocellular carcinoma (HCC) has undergone rapid transformation over the past decade, significantly expanding treatment options...

Identification of BMX as a Potential Biomarker for Rheumatoid Arthritis Based on WGCNA, Machine Learning, and Experimental Validation.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disease needing reliable biomarkers. This study aimed to identify potential RA biomarker...

Evolution of Gastrointestinal Inflammatory Diseases and Neoplasm Burden in Super-Elderly Populations: Integrated GBD 2023, CHARLS, and CLHLS Analyses of China and G20 Countries.

BACKGROUND: Rapid population aging has profoundly altered the epidemiological profile of gastrointestinal diseases in individuals aged ≥75 years. Alth...

Automated assessment of coronal lower extremity alignment on long-leg radiographs using a deep-learning model: validation, efficiency gains, and superiority of an edge-based tibial joint-line definition.

PURPOSE: To develop, validate, and benchmark a fully automated deep learning (DL) system that simultaneously measures 15 coronal lower-limb alignment ...

Artificial Intelligence in Musculoskeletal Imaging: Innovations and Clinical Impact in Rheumatology.

This article summarizes key advancements of artificial intelligence (AI) for rheumatic and musculoskeletal disease imaging in the diagnosis and classi...

AI-enabled, enzyme-integrated photonic crystal sensor for real-time noninvasive visual uric acid detection.

Since uric acid (UA) serves as a critical biomarker for diagnosing metabolic disorders such as gout and hyperuricemia, developing noninvasive optical ...

Deep learning methods for automated orthopaedic measurements in radiographs.

Radiography remains central to orthopedic diagnosis and surgical planning, yet many clinically important measurements (angles, offsets, alignment indi...

Finding Associative and Causal Effects of Temporal Changes in Health Features for Prevalent and Incident Cancer in Males: A Machine Learning Approach.

Cancer remains a major public health challenge driven by complex interactions among sociodemographic, behavioral, clinical, and environmental factors....

Grading Shoulder Osteoarthritis in X-ray Images Using Deep Learning Techniques.

This study attempts to develop a deep learning (DL) model to grade Glenohumeral OA (GHOA) in shoulder x-ray images based on the Hamada classification ...

Automated ultrasound with AI for osteophyte grading in hand osteoarthritis: comparison with expert rheumatologist assessment.

BACKGROUND: The objective of this study was to characterise the agreement of the CE-certified automated robotic ultrasound system ARTHUR v.2.0, combin...

Radiomics Grading of Hand Osteoarthritis Severity Using Standard Radiographs: Results from the DIGICOD Cohort.

OBJECTIVE: This study evaluated whether radiomics analysis of standard hand radiographs could provide an automated and objective assessment of structu...