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

What is the performance of an artificial intelligence (AI) system for the analysis of kidney transmission electron microscopy (TEM) images for diagnosing glomerular disease?This diagnostic study including 160 727 images from 31 670 patients across 6 health centers describes the development and validation of TEM-AID, an AI-based system to diagnose glomerular disease. TEM-AID accurately segmented glomerular structures and directly predicted glomerulonephritis subtypes, achieving high internal diagnostic performance and demonstrating consistent external validation across 5 test sets; additionally, in a comparative study involving 454 patients, TEM-AID outperformed pathologists.This diagnostic study found that TEM-AID significantly enhanced diagnostic efficiency and accuracy in kidney pathology by providing quantitative TEM analysis tools, supporting pathologists in clinical practice.

Corresponding Authors: Li Liang, PhD, MD (lli@smu.edu.cn) and Yaping Ye, PhD, MD (yeyp1980@126.com), Department of Pathology, Nanfang Hospital, School of Basic Medical Sciences, Southern Medical University, Guangzhou city, 510515, PR China.

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