AI Medical Compendium Journal:
Journal of the American Society of Nephrology : JASN

Showing 1 to 7 of 7 articles

Self-Supervised Learning for Feature Extraction from Glomerular Images and Disease Classification with Minimal Annotations.

Journal of the American Society of Nephrology : JASN Oct 9, 2024
BACKGROUND: Deep learning has great potential in digital kidney pathology. However, its effectiveness depends heavily on the availability of extensively labeled datasets, which are often limited because of the specialized knowledge and time required ...
Diabetic Nephropathies Kidney Diseases Principal Component Analysis Deep Learning ROC Curve Supervised Machine Learning Glomerulonephritis, Membranous Humans Nephrosis, Lipoid Biopsy Kidney Glomerulus
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Artificial Intelligence You Can Trust: What Matters Beyond Performance When Applying Artificial Intelligence to Renal Histopathology?

Journal of the American Society of Nephrology : JASN Nov 9, 2022
Although still in its infancy, artificial intelligence (AI) analysis of kidney biopsy images is anticipated to become an integral aspect of renal histopathology. As these systems are developed, the focus will understandably be on developing ever more...
Humans Artificial Intelligence Kidney Trust
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A Deep Learning Approach for Automated Segmentation of Kidneys and Exophytic Cysts in Individuals with Autosomal Dominant Polycystic Kidney Disease.

Journal of the American Society of Nephrology : JASN Jun 29, 2022
BACKGROUND: Total kidney volume (TKV) is an important imaging biomarker in autosomal dominant polycystic kidney disease (ADPKD). Manual computation of TKV, particularly with the exclusion of exophytic cysts, is laborious and time consuming.
Disease Progression Deep Learning Image Processing, Computer-Assisted Humans Cysts Kidney Polycystic Kidney, Autosomal Dominant Magnetic Resonance Imaging
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Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.

Journal of the American Society of Nephrology : JASN Jan 11, 2022
BACKGROUND: Untargeted plasma metabolomic profiling combined with machine learning (ML) may lead to discovery of metabolic profiles that inform our understanding of pediatric CKD causes. We sought to identify metabolomic signatures in pediatric CKD b...
Metabolome Metabolic Networks and Pathways Support Vector Machine Metabolomics Glomerulosclerosis, Focal Segmental Child, Preschool Child Logistic Models Renal Insufficiency, Chronic Kidney Adolescent Cohort Studies Humans Male Infant Prospective Studies Female Machine Learning
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Three-Dimensional Visualization of the Podocyte Actin Network Using Integrated Membrane Extraction, Electron Microscopy, and Machine Learning.

Journal of the American Society of Nephrology : JASN Nov 10, 2021
BACKGROUND: Actin stress fibers are abundant in cultured cells, but little is known about them . In podocytes, much evidence suggests that mechanobiologic mechanisms underlie podocyte shape and adhesion in health and in injury, with structural change...
Animals Imaging, Three-Dimensional Machine Learning Models, Animal Podocytes Mice Microscopy, Electron Actin Cytoskeleton Mice, Inbred C57BL
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Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.

Journal of the American Society of Nephrology : JASN Nov 5, 2020
BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with the animal models that are essential for understanding kidney disease pathophysiology. Precision medicine increases the demand for quantitative, unbiase...
Pattern Recognition, Automated Periodic Acid Translational Research, Biomedical Schiff Bases Kidney Diseases Kidney Glomerulus Diagnosis, Computer-Assisted Deep Learning Animals Algorithms Male Reproducibility of Results Kidney Neural Networks, Computer Image Processing, Computer-Assisted Disease Models, Animal Mice Mice, Inbred C57BL
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Deep Learning-Based Histopathologic Assessment of Kidney Tissue.

Journal of the American Society of Nephrology : JASN Sep 5, 2019
BACKGROUND: The development of deep neural networks is facilitating more advanced digital analysis of histopathologic images. We trained a convolutional neural network for multiclass segmentation of digitized kidney tissue sections stained with perio...
Biopsy Nephrectomy Deep Learning Kidney Humans Kidney Transplantation
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