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First received: December 12, 2025

Clinical Trial: AI Models vs Non-Invasive Fibrosis Scores in MAFLD Diagnosis

Study Status: COMPLETED

Recruit Status: COMPLETED

Condition: MAFLD

Study Type: OBSERVATIONAL


Official Title: Assessing the Utility of AI Models in MAFLD Diagnosis: Comparison With Traditional Non-Invasive Fibrosis Scores.

Brief Summary: This study evaluates the accuracy of artificial intelligence (AI) models using FibroScan and clinical data to predict hepatic fibrosis in Egyptian patients with metabolic-associated fatty liver disease (MAFLD).The performance of the AI models will be compared with conventional noninvasive fibrosis scores (FIB-4, APRI, NAFLD fibrosis score, and FAST).The goal is to improve early, noninvasive diagnosis of fibrosis and reduce reliance on liver biopsy.

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