Arthritis

Artificial intelligence in the management of sports knee injuries: a narrative review.

INTRODUCTION: Sports-related knee injuries are common and debilitating, often leading to chronic pain, early osteoarthritis, and reduced performance. Artificial Intelligence (AI) has emerged as a promising tool to improve their prevention, diagnosis, prognosis, and rehabilitation. This review summarises current evidence on the clinical applications, limitations, and future directions of AI and mac...

Exploring the association between Frailty Index and Knee osteoarthritis in middle-aged and older Chinese adults: A cross-sectional analysis of data from the China Health and Retirement Longitudinal Study.

OBJECTIVE: To explore the relationship between Frailty Index (FI) and Knee osteoarthritis (KOA) in Chinese people aged 45 and above. METHODS: Data on symptomatic KOA, FI, and over ten covariates were from the China Health and Retirement Longitudinal Study (CHARLS). Logistic regression and restricted cubic splines (RCS) were used to analyze the correlation. Subgroup and interaction analyses were al...

Classification of anterior cruciate ligament injury profiles through running analysis: a machine learning approach.

Anterior cruciate ligament (ACL) injuries are common in athletes and often result in long-term complications such as altered gait and an increased ris...

CT Radiomic Features Are Associated with DNA Copy Number Alterations of Head and Neck Squamous Cell Carcinomas.

BACKGROUND AND PURPOSE: While a larger fraction of head and neck squamous cell carcinoma (HNSCC) genomes is characterized by a high prevalence of copy...

Identifying systemic lupus erythematosus from serum proteomic profiles using machine learning and genetic risk stratification.

OBJECTIVES: Proteome-wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profil...

Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis.

BACKGROUND: Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be ...

EXPRESS: Identification of Acetylation-Related Molecular Signatures in Knee Osteoarthritis Patients with Significant Response to Warm-Needle Acupuncture Using Machine-Learning Approaches.

OBJECTIVE: This study aims to delineate remodeling effects of acetylation-related gene expression in knee osteoarthritis (KOA) patients markedly respo...

Smartphone-derived joint angular velocities in sit-to-stand motion provide a spatiotemporal marker for symptomatic knee osteoarthritis.

BACKGROUND: Knee osteoarthritis (OA) is a debilitating condition that compromises mobility and exacerbates knee pain, necessitating accurate and acces...

A deep learning system for diagnosis of rheumatoid arthritis on digital hand photographs.

Identification of Novel Non-coding Genetic Variants of Serum Urate Using Whole Genome Sequencing in 7,339 Chinese.

OBJECTIVE: To investigate the genetic architecture of low-frequency and rare variants of serum urate (SU) in East Asian populations, aiming to clarify...

Automatic framework for evaluating osteoarthritic cartilage severity: high-resolution cartilage thickness mapping and scoring.

OBJECTIVES: To develop and validate an automatic, scalable framework for assessing the femoro-tibial osteoarthritic cartilage severity using high-reso...

TCR recognition of peptide-HLA class II complexes in autoimmunity: Structural insights for therapeutic targeting.

Autoimmune diseases encompass a broad spectrum of disorders in which self-reactive T and B cells breach immune tolerance and drive chronic tissue infl...

The Synovial Fingerprint of Ankle Fractures: A Central Role for WNT Pathway Activation in Posttraumatic Ankle Osteoarthritis.

BACKGROUND: Osteoarthritis (OA) of the ankle is a disabling and understudied disease, most commonly emerging posttraumatically after ankle fractures (...

Digital and artificial intelligence literacy in inflammatory rheumatic and degenerative joint diseases.

PURPOSE: The development of digital technologies and artificial intelligence (AI) in healthcare has highlighted the need for patients to improve digit...

Comparing large language models and human experts in interpreting MRI reports for personalized patient education.

RATIONALE AND OBJECTIVES: Knee osteoarthritis (OA) is a prevalent global condition. While MRI guides clinical decisions, its technical complexity hind...

Inflammatory protein profiling in immune cells identifies molecular signatures for enhanced diagnostic precision in psoriatic arthritis.

Psoriatic arthritis (PsA) lacks reliable biomarkers to support early diagnosis and disease stratification. This study aimed to identify protein signat...

Evaluation of ChatGPT-5 responses to patient-centered questions on stromal vascular fraction for knee osteoarthritis: fair to good quality and content.

The promise of biomarkers in Psoriatic Arthritis: Moving towards precision medicine.

Psoriatic arthritis is a heterogeneous disease where delayed diagnosis and variable treatment responses remain significant challenges. This review add...

Infrared thermography in the detection of arthritis: a systematic review of diagnostic performance compared with joint ultrasound.

Early detection of arthritis in autoimmune rheumatic diseases (ARDs) is critical to prevent irreversible damage. Joint ultrasound (US) offers high sen...

Foundation Model and Multi-Instance Learning-Based Framework for Predicting Lymphovascular Invasion in Prostate Cancer.

BACKGROUND: Lymphovascular invasion (LVI) is a well-established adverse prognostic factor in prostate cancer (PCa). This study aimed to develop and va...