AI-Based System for Analysis of Electron Microscope Images in Glomerular Disease.

ABSTRACT:

Importance

Kidney biopsy pathology via transmission electron microscopy (TEM) is essential for diagnosing glomerular diseases, offering critical information on glomerular basement membrane (GBM) thickness, foot process (FP) number, and electron-dense deposits (EDDs). These tasks are laborious and time-consuming.

Objective

To develop and validate an artificial intelligence (AI) diagnostic system, TEM image-based AI-assisted device (TEM-AID), that accurately segments and measures glomerular ultrastructures (including the GBM, FPs, and EDDs) and determines glomerular disease subtypes using TEM images.

Design, setting, and participants

This diagnostic study used a large, multicenter cohort including 160 727 TEM images from 31 670 patients with chronic kidney disease acros

SUBMITTER: Ma P 

PROVIDER: S-EPMC12505174 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature