Latest AI and machine learning research in arthritis for healthcare professionals.
INTRODUCTION: Psoriatic arthritis is a chronic inflammatory disease that can affect the axial skeleton as well as the joints and enthesis. Following the failure of conventional synthetic disease-modifying antirheumatic drugs (DMARDs), numerous biological DMARDs (b-DMARDs) or targeted synthetic DMARDs are now available, although current guidelines do not recommend a specific mode of action in the a...
OBJECTIVE: Disease activity is a critical indicator for monitoring the progression of ankylosing spondylitis (AS), guiding clinical decision-making, and informing treatment plans. Patient-reported outcome measures (PROMs) have gained prominence in AS clinical management. However, their potential to predict Ankylosing Spondylitis Disease Activity Score-C-reactive protein (ASDAS-CRP) remains unexplo...
Infection risk is an important consideration during treatment decision-making in rheumatoid arthritis (RA), including at the initiation of biologics o...
BACKGROUND: Patient-reported outcome measures and healthcare utilization metrics are increasingly used to evaluate the success of total knee arthropla...
AIMS: We aimed to develop and validate a practical deep learning model integrating commonly collected clinical data and knee radiographs to predict th...
RATIONALE: After inadequate response to first-line biologic or targeted synthetic (b/ts) disease-modifying antirheumatic drug (DMARD) therapy in adult...
OBJECTIVE: To evaluate the diagnostic accuracy and patient acceptability of fAI-BRO (Fibromyalgia AI-Based Rheumatology Observer), a multimodal artifi...
BACKGROUND: Systemic autoimmune rheumatic diseases (SARDs) are a heterogeneous group of autoimmune conditions characterized by immune system dysregula...
BACKGROUND: Psoriasis is a multifaceted skin and systemic disorder driven by a complex interplay of genetic, immunological, and environmental factors....
INTRODUCTION: Gout typically develops from hyperuricemia (HUA), but the metabolic alterations driving this transition remain poorly understood, limiti...
OBJECTIVE: To investigate whether combining gait, balance, and infrared thermography improves discrimination between individuals with knee osteoarthri...
BACKGROUND: Anterior cruciate ligament reconstruction (ACLR) restores stability but is often followed by early cartilage degeneration. The contributio...
BACKGROUND: Osteogenesis imperfecta (OI) is a rare genetic disorder characterized by bone fragility and recurrent fractures. Emerging biologics demons...
Low-fidelity, artificial intelligence (AI)-generated approaches are increasingly used to estimate kinematics and kinetics of human movement, which are...
BACKGROUND: Recent advances in artificial intelligence (AI) have redefined shoulder arthroplasty, ultimately improving diagnostic accuracy, refining s...
BACKGROUND: Muscle atrophy is prevalent among patients with hip osteoarthritis, yet quantitative assessment of the peri-hip muscles remains challengin...
OBJECTIVES: To develop a robust and interpretable machine learning framework for arthritis risk prediction and to identify important risk factors asso...
BACKGROUND: Manual chart abstraction from electronic health records is a critical step in clinical outcomes research but is time-intensive and prone t...
BACKGROUND: Hearing loss (HL) is common in older adults and is associated with substantial functional decline, yet community-based evidence on its det...
Osteoarthritis (OA) is a multifactorial joint disease propelled by interrelated pathological processes including synovial inflammation, failure of joi...