Artificial Intellect, Radiomics and Radiogenomics

Abstract

Artificial intellect (AI) is a complex of technological solutions that allows simulating human cognitive functions (including self-learning and finding solutions without a predetermined algorithm) and obtaining, when performing specific tasks, results comparable, at least, to the results of human intellectual activity. The most promising area of AI in medicine, in which technologies have achieved obvious success and are already being actively applied, is the analysis of diagnostic images (X-ray, MRI, CT, PET, SPECT): detection, recognition and identification of various pathologies on them. The purpose of the review is to guide the reader in the potential and problem of AI technologies in radiation diagnosis of human pathologies. The review covers articles that meet the following criteria: the publication is an original research article; the publication is devoted to radiation diagnostics; the publications analyze the use of AI technology in solving the clinical problems of diagnosis, prognosis of a particular pathology; radiology is a potential or actual field of the AI technology application analyzed in the publication. The problem of data verification and marking, radiomics and radiogenomics (as a basis for machine and deep learning of AI), the use of AI in hepatology, limitations and risks of AI application in medicine are considered.

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