Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

Digital imaging and advanced microscopy play a pivotal role in the diagnosis of kidney
diseases. In recent years, great achievements have been made in digital imaging, providing …

Diagnosis of diabetic kidney disease (DKD) mainly relies on screening the morphological
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …

Glomerulonephritis (GN) is a severe kidney disorder in which the tissues in the kidney
become inflamed and have problems filtering waste from the blood. Typical approaches for …

Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease and is extremely
heterogeneous in terms of immunological features and clinical manifestations. This …

Abstract Background and Objective The Oxford Classification for IgA nephropathy is the
most successful example of an evidence-based nephropathology classification system. The …

Background: Glomerular lesion recognition is one of the most crucial steps in the diagnosis
of kidney disease. Deep learning, which relies on large numbers of pathology images …

In this narrative review, we focus on the application of artificial intelligence in the clinical
history of patients with glomerular disease, digital pathology in kidney biopsy, renal …

Recent advances in the use of machine learning and artificia... : Current Opinion in
Rheumatology Recent advances in the use of machine learning and artificial intelligence to …

Background Although rare, severe systemic lupus erythematosus (SLE) flares requiring
hospitalization account for most of the direct costs of SLE care. New machine learning (ML) …