Introduction: Today we can witness intense progress of medicine and technology, along with the development of the artificial intelligence that has penetrated our modern life. Radiomics is an excellent method of providing useful information by a non-invasive processing of data. The radiomic analysis aids the whole process of patient administration, from their medical examinations and scans to providing a diagnosis, and has therefore captured attention from many scientists and doctors. Aim of the paper: The aim of this paper is to inform the readers with the scientific field of radiomics and its area of practice, as well as how it has been implemented into specific radiological processes of diagnostics and helped the processing of images and the diagnostics of the breast carcinoma. Discussion: Many scientific researches state that radiomics has proven to be an excellent method with many advantages, but as every scientific innovation, it has its drawbacks that need to be determined by further research. The main obstacle is the network of computers that will have to be standardized in order for the radiomic processing of data can take place in every medical institution in the same way for the benefits of the exchange of medial data between the institutions. Apart from the standardization of the system, also, the problem of falsely positive test results increases health costs and is time consuming for both medical experts and patients. The solution to these obstacles is the development of better computing algorithms and the increase of computer sensibility in the process of detection of lesion / cancer patterns. Conclusion: Radiomics will most certainly have an important role in the future of diagnostics and image processing. Since the artificial intelligence within medicine is still being in the process of development, radiomics will be implemented as a tool to medical experts, but it will be highly effective and helpful in the analysis of radiological images.