Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease, while non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease, which can

progress to more severe liver diseases such as liver fibrosis, cirrhosis and hepatocellular carcinoma. Approximately 50%-70% of T2DM patients also have

NAFLD. Traditional diagnostic methods like liver biopsy have limitations, making largescale screening difficult. In the past decade, machine learning have emerged as crucial tools for assisting in NAFLD diagnosis.