Chronic Changes on Kidney Histology by a Multiclass Artificial Intelligence Model

Chronic Changes on Kidney Histology by a Multiclass Artificial Intelligence Model

Introduction: Chronic changes in kidney histology are often approximated by using human vision but with limited accuracy. Methods: An interactive annotation tool trained an artificial intelligence (AI) model for segmenting structures on whole slide images (WSIs) of kidney tissue. A total of 20,509 a...

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Bibliographic Details
Main Authors: Aleksandar Denic, Muhammad S. Asghar, Lucas Stetzik, Austin Reynolds, Jaidip M. Jagtap, Mahesh Kumar, Aidan F. Mullan, Andrew R. Janowczyk, Mariam P. Alexander, Maxwell L. Smith, Fadi E. Salem, Laura Barisoni, Andrew D. Rule
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Kidney International Reports
Subjects:
artificial intelligence
chronic kidney disease
digital pathology
kidney histology
nephron size
nephrosclerosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2468024925003389
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