Using Large Language Models to Predict Advanced Liver Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A Proof-of-Concept Analysis

GPT-based LLMs show strong potential for predicting advanced fibrosis in MASLD, offering a scalable, interpretable tool for clinical use. Further validation across diverse populations and clinical settings is needed to confirm generalizability and refine the approach before clinical adoption.

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Publication Details

Journal
Cureus
Published
2026-02-01
DOI
https://doi.org/10.7759/cureus.102777
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Large Language Models to Predict Advanced Liver Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A Proof-of-Concept Analysis

Yazan Al-Ajlouni, Omar Al Ta'ani, Basile Njei, Nelvis Njei et al.
Cureus
Liver Disease Diagnosis and Treatment
article

Using Large Language Models to Predict Advanced Liver Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A Proof-of-Concept Analysis

Yazan Al-Ajlouni, Omar Al Ta'ani, Basile Njei, Nelvis Njei, Sarpong Boateng
article en

Abstract

GPT-based LLMs show strong potential for predicting advanced fibrosis in MASLD, offering a scalable, interpretable tool for clinical use. Further validation across diverse populations and clinical settings is needed to confirm generalizability and refine the approach before clinical adoption.

CureusVol. 18(2)
Allegheny Health Network (US), Montefiore Medical Center (US), Bridgeport Hospital (US), Machine Intelligence Research Institute (US), Yale University (US)
Zero hunger
Openalex Percentile: Top 69%
Liver Disease Diagnosis and Treatment
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