Liver cancer is an extremely heterogeneous malignant tumor characterized by high morbidity and mortality rates. Despite significant advancements in cancer care

the outcomes of liver cancer patients remain poor. Artificial intelligence (AI) is a major discipline in computer science that attempts to simulate human intelligence using machines or systems. Owing to the availability of multidimensional databases and recent algorithmic advancements

AI offers tremendous potential to overcome current obstacles in oncology research and practice. There is a growing body of evidence suggesting that AI models enable pathologists to diagnose liver cancer more accurately

customize personalized therapies

and predict cancer prognosis. Therefore

the increasing adoption of AI is expected to improve healthcare accuracy and patients’ quality of life. However

only a few AI models are currently authorized for clinical use. This review outlines recent developments in research on the biomedical application of AI technology in liver cancer and discusses both the potential hurdles and future implications of employing AI for clinical cancer management

thereby providing insights for further research. Overall

the clinical implementation of AI technology is anticipated to induce a paradigm shift in medical oncology

leading to significant improvements in patient outcomes.