摘要
随着肥胖和代谢综合征的流行,代谢相关脂肪性肝病(MAFLD)已成为我国乃至全球最常见的慢性肝病。传统的诊断和监测方法依赖于肝活检、影像学和血清学标志物,但存在侵入性、成本高和灵敏度不足等局限性。近年来,人工智能(AI)技术在医学领域的快速发展为MAFLD的诊疗提供了新思路。本文探讨了AI技术在MAFLD疾病诊断模型、疾病进展预测和数字治疗等领域的应用,旨在为MAFLD的诊断和管理提供借鉴。
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.
作者
孙超
范建高
SUN Chao;FAN Jiangao(Department of Gastroenterology,Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine,Shanghai 200092,China)
出处
《临床肝胆病杂志》
北大核心
2025年第11期2213-2217,共5页
Journal of Clinical Hepatology
基金
国家科技重大专项-四大慢病重大专项(2023ZD0508700,2023ZD0508704)
上海交通大学医学院附属新华医院“学科攀峰计划”建设项目(XKPF2024B400,XKPF2024B401)。
关键词
代谢相关脂肪性肝病
人工智能
诊断
治疗学
Metabolic Associated Fatty Liver Disease
Artificial Intelligence
Diagnosis
Therapeutics
