Formulating tasks, interpretation, and planning the implementation of research results using artificial intelligence in medicine

Abstract

Strategic issues of artificial intelligence use in medicine are considered. Summarizing, as of today, AI supports doctors but does not replace them. It is emphasized that AI in healthcare typically solves important, but rather limited in scope, tasks. Difficulties in further implementation of AI are analyzed. The aim of the study was to address the analytical generalization of AI capabilities in healthcare, analyze the problems of using the Universum of medical-biological knowledge as a global unified resource, and conceptually justify the need to structure medical-biological knowledge, introducing fundamentally new forms of knowledge transfer in healthcare.