Abstract
Liver fibrosis is a key pathological process in the progression of chronic liver disease, and its early stage and accurate diagnosis are crucial for improving patient prognosis. In recent years, the non-invasive diagnosis of liver fibrosis has gradually shifted from the traditional model based on conventional serological indicators to an evaluation system that integrates new biomarkers and multi-omics technologies. This article systematically reviews the evolution of the serological evaluation system for non-invasive diagnosis of liver fibrosis, introduces the application progress of serological models, novel biomarkers, and the introduction of multimodal integration and artificial intelligence technology, and analyzes their advantages and limitations, with aim of providing novel ideas for achieving accurate diagnosis and assisting in clinical management of patients.