Diagnostic accuracy of artificial intelligence models for imaging detection of hepatic steatosis through systematic review and meta analysis

Abstract Non-alcoholic fatty liver disease (NAFLD) is an increasingly prevalent chronic liver condition affecting nearly 30% of the global population. Characterized by hepatic steatosis in the absence of significant alcohol intake, NAFLD can progress to non-alcoholic steatohepatitis (NASH), fibrosis...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	V. Nivethitha, Roy Arokiam Daniel, Aninda Debnath, Vignesh Dwarakanathan, Girish Jeer, G. Kavipriya
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-10-01
Subjects:	Non-alcoholic fatty liver disease Artificial intelligence Convolutional neural network Diagnostic accuracy Systematic review Meta-analysis
Online Access:	https://doi.org/10.1038/s41598-025-17386-3