Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …

Objectives In this systematic review we aimed at assessing how artificial intelligence (AI),
including machine learning (ML) techniques have been deployed to predict, diagnose, and …

The International IgA Nephropathy (IgAN) Prediction Tool is the preferred method in the
2021 KDIGO guidelines to predict, at the time of kidney biopsy, the risk of a 50% drop in …

The development of omics technologies has driven a profound expansion in the scale of
biological data and the increased complexity in internal dimensions, prompting the …

Background and objective Aim of nephrologists is to delay the outcome and reduce the
number of patients undergoing renal failure (RF) by applying prevention protocols and …

The study aims to develop AICare, an interpretable mortality prediction model, using
electronic medical records (EMR) from follow-up visits for end-stage renal disease (ESRD) …

Background Kidney disease progression rates vary among patients. Rapid and accurate
prediction of kidney disease outcomes is crucial for disease management. In recent years …

Abstract Background The Oxford classification/MEST score is an established histopathologic
scoring system for patients with IgA nephropathy (IgAN). The objective of this study was to …

Introduction. It is now known that cancer is a major public health problem; on the other hand,
it is less known, or rather, often underestimated, that a significant percentage of cancer …

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) are a group of
multisystemic autoimmune diseases characterized by necrotizing inflammation of small …