Artificial intelligence (AI) has emerged as a powerful tool in the field of hepatology, offering new opportunities to enhance diagnosis, risk stratification, and therapeutic decision-making. AI models have demonstrated improved performance compared with conventional methods by integrating complex multimodal datasets. These models have shown promising results across a broad spectrum of liver disease management. Despite these advances, unmet needs remain a significant barrier to the full integrati