AIMC Topic: Glomerulonephritis, IGA
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Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images.
Clinical journal of the American Society of Nephrology : CJASN
Jul 26, 2022
BACKGROUND AND OBJECTIVES: Digital pathology and artificial intelligence offer new opportunities for automatic histologic scoring. We applied a deep learning approach to IgA nephropathy biopsy images to develop an automatic histologic prognostic scor...
Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy.
BMC medical imaging
Jul 23, 2021
BACKGROUND: The aim of this study was to investigate the potential use of renal ultrasonography radiomics features in the histologic classification of glomerulopathy.
An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
IgA nephropathy (IgAN) is common worldwide and has heterogeneous phenotypes. Predicting long-term outcomes is important for clinical decision-making. As right-censored patients become common during the long-term follow-up, either excluding these pati...
Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning.
The Journal of pathology
Jul 7, 2020
Identification of glomerular lesions and structures is a key point for pathological diagnosis, treatment instructions, and prognosis evaluation in kidney diseases. These time-consuming tasks require a more accurate and reproducible quantitative analy...
Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases.
BioMed research international
Jul 16, 2019
PURPOSE: To identify novel biomarkers of IgA nephropathy (IgAN) through bioinformatics analysis and elucidate the possible molecular mechanism.
IgA nephropathy in systemic lupus erythematosus patients: case report and literature review.
Revista brasileira de reumatologia
Feb 16, 2015
Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one of the most striking manifestations. Although it can coexist with other autoimmune diseases, and determine the predisposition to various infectious co...
Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications.
Scientific reports
Jul 2, 2025
Kidney pathology of immunoglobulin A nephropathy (IgAN), which is the key finding of both diagnosis and risk stratification, involves labor-intensive manual interpretation as well as unavoidable interpreter-dependent variabilities. We propose artific...
A prognostic model of immunoglobulin A nephropathy using artificial neural network: a retrospective study based on integrated Chinese and Western Medicine.
Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan
Jun 1, 2025
OBJECTIVE: To establish and evaluate a prognostic model of immunoglobulin A nephropathy (IgAN) based on integrated Chinese and Western Medicine.
Deep learning automation of MEST-C classification in IgA nephropathy.
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Jun 30, 2023
BACKGROUND: Although the MEST-C classification is among the best prognostic tools in immunoglobulin A nephropathy (IgAN), it has a wide interobserver variability between specialized pathologists and others. Therefore we trained and evaluated a tool u...
Clinical Presentation, Histology, and Outcomes of Immunoglobulin A Nephropathy: A Single-Center Experience from Pakistan.
Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia
Jan 1, 2021
Clinical presentation, kidney biopsy findings, and clinical outcomes of immunoglobulin A nephropathy (IgAN) are highly variable. The objective of this study is to study the clinical presentation, histologic patterns, and outcomes of IgAN in the Pakis...
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