Work

Artificial intelligence technologies in the healthcare system: a general overview of potential opportunities and risks

Year: 2026

Type: article

Abstract: Background.Artificial intelligence technologies are increasingly being used in the healthcare system of the leading countries of the world (first of all, we are talking about the USA and China). Meanwhile, there are risks of such innovations, the consequences of which are still far from being assessed. In this regard, it seems relevant to analyze data on the use of such systems in current medical practice and the prospects for use in the near future. Purpose. To provide a general overview of the potential opportunities and risks of using AI technologies in the healthcare system based on current scientific data. Materials and methods. The study used publications from the last five years selected from the Web of Science, Scopus, PubMed, RSCI databases, as well as reports from relevant organizations (WHO, etc.). The main method is content analysis of literature, highlighting the main thematic categories of AI application: clinical diagnostics, medical and preventive care, healthcare management and logistics, public health and epidemiological surveillance. Results. The analysis confirms the initial hypothesis about the dual impact of AI on healthcare: its transformative potential is immense, but it can only be realized if the associated risks are overcome.

Source: Siberian Journal of Life Sciences and Agriculture

DOI: 10.12731/2658-6649-2026-18-2-1795

Authors: Dmitry A. Belyaev, Ivan N. Skripkin, Mikhail Yu. Smirnov

Institutions: Moscow State University of Technologies and Management named after K.G. Razumovskiy, Lipetsk State Pedagogical University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $350