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.
Authors
- Yazan Al-Ajlouni
- Omar Al Ta'ani
- Basile Njei
- Nelvis Njei
- Sarpong Boateng
Institutions
- Allegheny Health Network (US)
- Montefiore Medical Center (US)
- Bridgeport Hospital (US)
- Machine Intelligence Research Institute (US)
- Yale University (US)
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