Arthritis

Integrating machine learning and pathway modelling to explore factors associated with chronic post-surgical pain and quality of life: a secondary observational analysis of the ENIGMA-II trial.

BACKGROUND: Chronic post-surgical pain (CPSP) is a common long-term complication with multifactorial contributors, and improved risk stratification remains a clinical priority. This study aimed to identify factors associated with CPSP and related outcomes and to explore hypothesised multivariable pathways using a hybrid analytical approach. METHODS: We performed a secondary observational analysis ...

Grading knee cartilage degeneration and meniscal injury with combined ACS-accelerated T1ρ and T2 mapping.

OBJECTIVE: To evaluate the diagnostic performance of artificial intelligence-compressed sensing (ACS)-accelerated T1ρ mapping combined with conventional T2 mapping for quantitative differentiation of articular cartilage degeneration and meniscal injury severity in knee osteoarthritis (KOA). METHODS: We prospectively enrolled 56 KOA patients and 30 age-matched healthy volunteers between August 2025...

Explainable machine learning on resting-state magnetoencephalography power spectra reveals neural alterations in knee osteoarthritis.

This study aimed to investigate abnormal patterns of resting-state magnetoencephalography (MEG) power spectra in patients with knee osteoarthritis (KO...

Screening disease feature genes and analyzing correlations with immune cell infiltration in knee osteoarthritis chondrocytes based on multiple machine learning algorithms.

OBJECTIVE: This study aimed to comprehensively analyze differentially expressed genes (DEGs) in chondrocytes from patients with knee osteoarthritis (O...

A machine learning AI model for predicting condylar erosion in patients with temporomandibular joint disorders and analyzing factors contributing to prediction.

OBJECTIVES: In temporomandibular joint osteoarthritis, condylar erosion is considered a sign of disease progression. Few studies have clarified the ex...

Fusion prediction model for post-ERCP pancreatitis under NSAIDs prophylaxis.

BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is a common procedure for treating biliary and pancreatic disorders; however, it is ...

A machine-learning-derived online screening tool for depressive symptoms in chronic digestive system diseases patients: a cross-sectional study with temporal validation from CHARLS.

Chronic digestive system diseases (CDSD) are common in older adults, and depressive symptoms are associated with poorer prognosis and quality of life....

Are magnetic resonance imaging features associated with intermittent and constant pain in knee osteoarthritis? A cross-sectional study.

OBJECTIVE: This study aims to explore the relationship between MRI structural morphotypes and intermittent and constant pain in knee osteoarthritis (K...

AI automated grid placement in the OMERACT knee inflammation MRI scoring system (KIMRISS) for bone marrow lesion assessment: A multi-reader exercise.

OBJECTIVE: To validate the reliability and feasibility of AI-automated grid placement for bone marrow lesion (BML) scoring in the Knee Inflammation MR...

Artificial Intelligence Applications in Degenerative Musculoskeletal Diseases.

Degenerative musculoskeletal disorders, particularly knee osteoarthritis and lumbar spine degeneration, are increasingly prevalent and contribute subs...

Prediction of Articular Cartilage Markers with Multispectral Imaging.

Osteoarthritis (OA) is a debilitating joint disease in which early microstructural and compositional changes in articular cartilage (AC) are challengi...

Evaluation of the performance of large language models in the management of hip and knee osteoarthritis: analysis of EULAR 2023 recommendations.

BACKGROUND: Clinical practice guidelines play a pivotal role in the management of complex and chronic conditions such as osteoarthritis (OA). However,...

Enhancing Tenosynovitis Diagnosis With XGBoost: A Machine Learning Approach Using Ultrasound Data.

BACKGROUND: Rheumatoid arthritis (RA) is a systemic autoimmune disorder characterized by chronic inflammation and progressive joint destruction. Tenos...

New Frontiers of Skin Ultrasound in Precision Medicine.

Ultrasound has emerged as a versatile, non-invasive imaging technique in dermatology, offering real-time, high-resolution visualization of cutaneous s...

Identification of candidate sex hormone-associated genes and immune infiltration characteristics in osteoarthritis based on bioinformatics analysis and machine learning.

BACKGROUND: Sex hormones play critical roles in the pathogenesis and progression of osteoarthritis (OA), yet the hormone-related molecular networks re...

Identification of diagnostic and prognostic hub genes in osteoarthritis: an integrated bioinformatics study.

BACKGROUND: Osteoarthritis (OA) is a heterogeneous whole-joint disease and a leading cause of pain and disability worldwide. Synovial inflammation pla...

Cartilage Injury: Update on Diagnosis and Image-guided Therapy.

Cartilage injury is a prevalent source of pain and disability, often progressing to osteoarthritis if untreated. MR imaging represents the reference s...

Predicting kinesiophobia in knee osteoarthritis: a head-to-head comparison between machine learning and traditional regression models.

BACKGROUND: Although machine learning (ML) holds promise for improving clinical identification, its application to kinesiophobia in knee osteoarthriti...

Mathematic and Computational Models for Osseointegration in Titanium Dental Implants: A Systematic Review of Current Approaches and Future Directions.

PURPOSE: To identify, compare, and critically evaluate the main mathematic and computational models used to study osseointegration in titanium (Ti) de...

Machine learning-based clinical tool for identifying factors associated with symptomatic knee osteoarthritis: the Nagahama study.

BACKGROUND: A clinical tool that evaluates factors associated with symptomatic knee osteoarthritis (OA) based on modifiable factors is lacking. This s...