Application of artificial intelligence in metabolic associated fatty liver disease
- VernacularTitle:人工智能在代谢相关脂肪性肝病中的应用
- Author:
Chao SUN
1
;
Jiangao FAN
1
Author Information
- Publication Type:Journal Article
- Keywords: Metabolic Associated Fatty Liver Disease; Artificial Intelligence; Diagnosis; Therapeutics
- From: Journal of Clinical Hepatology 2025;41(11):2213-2217
- CountryChina
- Language:Chinese
- Abstract: With the prevalence of obesity and metabolic syndrome， metabolic associated fatty liver disease （MAFLD） has become one of the most common chronic liver diseases in China and globally. Traditional diagnostic and monitoring methods rely on liver biopsy， imaging techniques， and serological markers， and their application is limited by invasiveness， high costs， and insufficient sensitivity. In recent years， the rapid development of artificial intelligence （AI） technology in the medical field has provided new ideas for the diagnosis and treatment of MAFLD. This article explores the application of AI technology in areas such as models for the diagnosis of MAFLD， the prediction of disease progression， and digital therapeutics， in order to provide a reference for the diagnosis and management of MAFLD.
