The article is devoted to the prospects for the widespread introduction of IT technologies, including artificial intelligence, into medical practice and medical research. The RAS Council on Personalized Medicine makes a significant contribution to solving the relevant problems. The scientific, socio-economic and ideological prerequisites for the widespread introduction of artificial intelligence technologies into clinical practice are shown. It is emphasized that, thanks to digital technologies, data from standardized unified nosological registries, specialized datasets, and information from state information systems processed using artificial intelligence will be available tomorrow. The importance of creating platform solutions, training basic models, and developing conceptual training for artificial intelligence is noted. The prospects for using generative artificial intelligence in healthcare based on large language models are considered.
E.V. Shlyakhto (Wed,) studied this question.