Radiomics in Hepatology: Therapeutic Applications in Hepatocellular Carcinoma

Imaging is essential in hepatocellular carcinoma (HCC) management, from screening to treatment assessment, but qualitative methods have limitations. Radiomics, a quantitative imaging approach, extracts high-dimensional features to enhance diagnostic, prognostic, and therapeutic decision-making. It shows promise in predicting treatment response and guiding personalized therapies. Integrating radiomics with artificial intelligence, particularly deep learning, could further improve predictive accuracy and clinical utility. Future efforts should focus on standardization, validation, and developing accessible tools to incorporate radiomics into routine therapeutic strategies, ultimately optimizing patient outcomes in HCC.