Hepatocellular carcinoma (HCC) is the most common primary liver cancer and the third leading cause of cancer-related deaths worldwide. Despite continuous advancements in diagnostic and therapeutic technologies in recent years, the overall treatment outcomes for HCC remain to be improved. With the advancement of artificial intelligence, radiomics has emerged as an innovative approach by extracting quantitative features from medical images imperceptible to the naked eye, enabling predictive modeling for the diagnosis, treatment decision-making, therapeutic evaluation, and prognostic prediction of HCC. This article systematically reviews the application of radiomics in the intelligent management of HCC, based on the latest research progress, aiming to enhance comprehensive treatment strategies.