Abstract
In the structure of all malignant liver tumors, hepatocellular carcinoma accounts for 75-90% of cases and is a crucial issue for health care providers due to low survival rates. In most cases, this is due to late diagnosis, when the possibility of radical surgical treatment is excluded. In this context, a critical issue is not only the primary verification of the tumor, but also differential diagnostics, which allows optimizing tactical options for the treatment of hepatocellular carcinoma. One of the promising areas in modern radiation diagnostics is the technique of high-performance quantitative image analysis, which is called "Radiomics". The literature review highlights current trends in the use of artificial intelligence in diagnostics, dynamic monitoring and prognosis for hepatocellular carcinoma. Despite achievements in this field, the problem of using artificial intelligence in digital visualization of liver tumors is still far from being solved. To maximize the usefulness of this non-invasive diagnostic analysis, further research is required.