Clinical validation of an AI-based pathology tool for scoring of metabolic dysfunction-associated steatohepatitis.

ABSTRACT: Metabolic dysfunction-associated steatohepatitis (MASH) is a major cause of liver-related morbidity and mortality, yet treatment options are limited. Manual scoring of liver biopsies, currently the gold standard for clinical trial enrollment and endpoint assessment, suffers from high reader variability. This study represents the most comprehensive multisite analytical and clinical validation of an artificial intelligence (AI)-based pathology system, AI-based measurement of metabolic dysfunction-associated steatohepatitis (AIM-MASH), to assist pathologists in MASH trial histology scoring. AIM-MASH demonstrated high repeatability and reproducibility compared to manual scoring. AIM-MASH-assisted reads by expert MASH pathologists were superior to unassisted reads in accurately assessing inflam

SUBMITTER: Pulaski H 

PROVIDER: S-EPMC11750710 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature