Abstract
Cirrhosis caused by metabolic associated fatty liver disease (MAFLD) has become a major global health challenge. Genetics, metabolic disorders, viruses, and other factors jointly drive the progression of this disease. The development of high-precision, non-invasive models for these diseases within the context of artificial intelligence is a novel direction for future diagnosis. Therapies that improve metabolism and antifibrosis should be strongly emphasized and urgently implemented to establish a standardized and unified endpoint evaluation system for anti-cirrhosis drug trials and therefore accelerate new drug development. This article systematically explores the epidemiological characteristics, risk factors, and the latest diagnosis and treatment strategies, with the aim to provide a reference basis for clinical practice.