AIMC Topic: Glomerulonephritis, IGA
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Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction.
BMC nephrology
Jun 23, 2025
OBJECTIVE: IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide, characterized by immune complex deposition in the glomerular mesangium, leading to mesangial hypercellularity, persistent microhematuria, proteinuria, and prog...
MAL-Net: A Multi-Label Deep Learning Framework Integrating LSTM and Multi-Head Attention for Enhanced Classification of IgA Nephropathy Subtypes Using Clinical Sensor Data.
Sensors (Basel, Switzerland)
Mar 19, 2025
BACKGROUND: IgA nephropathy (IgAN) is a leading cause of renal failure, characterized by significant clinical and pathological heterogeneity. Accurate subtype classification remains challenging due to overlapping clinical manifestations and the multi...
Machine-learning model based on ultrasomics for non-invasive evaluation of fibrosis in IgA nephropathy.
European radiology
Jan 24, 2025
OBJECTIVES: To develop and validate an ultrasomics-based machine-learning (ML) model for non-invasive assessment of interstitial fibrosis and tubular atrophy (IF/TA) in patients with IgA nephropathy (IgAN).
Application of cloud server-based machine learning for assisting pathological structure recognition in IgA nephropathy.
Journal of clinical pathology
Jan 17, 2025
BACKGROUND: Machine learning (ML) models can help assisting diagnosis by rapidly localising and classifying regions of interest (ROIs) within whole slide images (WSIs). Effective ML models for clinical decision support require a substantial dataset o...
Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.
PloS one
Dec 5, 2024
The billing database of the universal healthcare system in Japan potentially includes large-cohort data of patients with immunoglobulin A nephropathy, diagnosis codes aimed at billing should not be directly used for clinical research because of the r...
Dynamic Individualized Risk Prediction in IgA Nephropathy: Entering the Era of Artificial Intelligence.
Clinical journal of the American Society of Nephrology : CJASN
Jun 12, 2024
Machine learning-based diagnostic prediction of IgA nephropathy: model development and validation study.
Scientific reports
May 30, 2024
IgA nephropathy progresses to kidney failure, making early detection important. However, definitive diagnosis depends on invasive kidney biopsy. This study aimed to develop non-invasive prediction models for IgA nephropathy using machine learning. We...
Development and External Validation of a Multidimensional Deep Learning Model to Dynamically Predict Kidney Outcomes in IgA Nephropathy.
Clinical journal of the American Society of Nephrology : CJASN
May 10, 2024
KEY POINTS: A dynamic model predicts IgA nephropathy prognosis based on deep learning. Longitudinal clinical data and deep learning improve predictive accuracy and interpretability in GN.
Development of a novel combined nomogram model integrating deep learning radiomics to diagnose IgA nephropathy clinically.
Renal failure
Oct 20, 2023
This study aimed to develop and validate a combined nomogram model based on superb microvascular imaging (SMI)-based deep learning (DL), radiomics characteristics, and clinical factors for noninvasive differentiation between immunoglobulin A nephropa...
Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy.
Computer methods and programs in biomedicine
Sep 13, 2023
BACKGROUND AND OBJECTIVE: The Oxford Classification for IgA nephropathy is the most successful example of an evidence-based nephropathology classification system. The aim of our study was to replicate the glomerular components of Oxford scoring with ...
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