Latest AI and machine learning research in rheumatology for healthcare professionals.
OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients with Systemic Lupus Erythematosus (SLE). Although SLE patients are known to have an elevated average risk of severe infection, little is known about how this excess risk varies by patient characteristics. Population-average estimates may mask important clinical heterogeneity. Identifying factors that...
BACKGROUND: Fever of unknown origin (FUO) remains diagnostically challenging because of heterogeneous causes, non-specific clinical manifestations, and overlapping imaging findings. We developed and validated FUO-PETMamba, a PET maximum-intensity-projection (MIP)-based artificial intelligence framework for AI-assisted aetiological classification of FUO. METHODS: This retrospective multicentre stud...
INTRODUCTION: Gout typically develops from hyperuricemia (HUA), but the metabolic alterations driving this transition remain poorly understood, limiti...
Cyclin-dependent kinases (CDKs), traditionally recognized for their pivotal role in cell cycle control, have emerged as versatile regulators orchestra...
BACKGROUND: Pulmonary fibrosis (PF) is a progressive, fatal interstitial lung disease with limited curative therapeutic options. Yin-Huang-Qing-Fei (Y...
OBJECTIVE: This study aimed to develop a robust transcriptomic diagnostic signature for Sjögren's disease (SjD; formerly Sjögren's syndrome) and eluci...
BACKGROUND: Systematic reviews are essential for evidence-based practice but remain resource-intensive, particularly during full-text data extraction ...
BACKGROUND: Recent advances in artificial intelligence (AI) have redefined shoulder arthroplasty, ultimately improving diagnostic accuracy, refining s...
OBJECTIVE: Given the challenges in predicting systemic lupus erythematosus (SLE) disease activity and the limitations of existing assessment tools, th...
PURPOSE: To identify which features best differentiate Sjögren's-related from non-Sjögren's related dry eye disease (DED) using machine-learning model...
Triple-negative breast cancer (TNBC) is classified as an immunologically cold tumor, which markedly weakens the therapeutic efficacy of immune checkpo...
OBJECTIVES: To develop a robust and interpretable machine learning framework for arthritis risk prediction and to identify important risk factors asso...
Large language models (LLMs) with multimodal capabilities may support automated assessment of cutaneous disease activity in dermatomyositis (DM). We e...
BACKGROUND: A major challenge facing prostate cancer (PCa) cells is oxidative stress, yet the precise role and underlying mechanisms remain inadequate...
BACKGROUND: Systemic lupus erythematosus (SLE) is a complex autoimmune disease, making accurate diagnosis and effective treatment challenging. Despite...
BACKGROUND: Hearing loss (HL) is common in older adults and is associated with substantial functional decline, yet community-based evidence on its det...
Biofilm-associated infections present a critical therapeutic challenge due to antibiotic resistance and impaired tissue healing. Here, we present a mi...
Immune thrombocytopenia (ITP) is an autoimmune disorder, characterized by immune-mediated platelet destruction and decreased platelet production. To i...
OBJECTIVES: To describe a diagnostic near miss in AI-assisted nailfold capillaroscopy, illustrating how a correct AI-based classification as an early ...
BACKGROUNDS: Breast cancer (BRCA) represents the most prevalent malignancy globally, with projections indicating 3.2 million new cases anticipated by ...