Non Alcoholic Fatty Liver Disease

Non-alcoholic fatty liver disease (NAFLD) is a prevalent chronic liver condition characterized by excessive fat accumulation in the liver, often associated with obesity and metabolic syndrome. Current research focuses on developing accurate and non-invasive diagnostic tools, employing deep learning models—including convolutional neural networks and transformer architectures—to analyze medical images (ultrasound, CT, MRI) and patient data (clinical records, genomics, even body shape) for improved disease detection and staging. These advancements aim to improve early diagnosis and risk stratification, enabling timely interventions and potentially reducing the burden of NAFLD-related complications like fibrosis, cirrhosis, and liver cancer.