The article presents a literature review of the databases such as PubMed, MEDLINE, Springer eLIBRARY and found via Google Scholar relevant Russian scientific articles. Articles were searched using the keywords: “breast cancer”, “artificial intelligence”, “screening”. The information obtained was then pooled, structured and analyzed in order to review the current state and problems in the field of breast cancer screening and application of artificial intelligence systems in this field in the world and in Russia. The possibility of applying artificial intelligence technologies for breast cancer screening in Russian healthcare system is discussed

Mammography is still the only screening method for breast cancer. Although digital mammography is the most common and widely used method for detecting breast cancer, it is ineffective at detecting and assessing intratumoral heterogeneity. Due to the small size of the tissue sample or tumor, biopsies often fail to represent the entire tumor. For this reason, selecting a treatment and determining a patients prognosis becomes difficult. In this case, medical imaging is a noninvasive approach that can provide a more comprehensive view of the entire tumor, act as a virtual biopsy, and be useful for monitoring disease progression and response to therapy. Radiomics with texture analysis allows you to look at an image as a group of numerical data, moving beyond the usual visual perception and into a deeper analysis of digital, pixel data to improve the accuracy of differential diagnosis. Radiogenomics is a natural extension of radiomics that focuses on determining gene expression based on radiologic tumor phenotype. The purpose of this review is to evaluate the role of mammography in breast cancer radiomics and radiogenomics. The article presents a literature review of relevant Russian scientific articles found in databases such as PubMed, Medline, Springer, eLibrary, and Google Scholar. The information obtained was then pooled, structured, and analyzed to examine the role of mammography in breast cancer screening radiomics.