Medical and economic aspects of the development of AI technologies in Russia and worldwide (literature review)

Abstract

The review presents the results of a study of the effectiveness of and prospects for funding the introduction of artificial intelligence in the healthcare sector. The authors analyzed the history of the transformation of digitalization in Russian healthcare and identified its main stages. The assessment of the introduction of artificial intelligence in Russia in relation to the recent past and to the experience of foreign colleagues was carried out. The most popular directions of AI projects are studied on the example of specific companies. The article examines the dependence of the size of the share of the country's GDP spent on digitalization of the system and the speed of transformation of the level of quality of services provided, as well as the tendency to decrease the load on the system, reducing the size of the resulting gap in patient desires and system resources in parallel with the growth of healthcare funding. The paper presents a study of the current state of the digitalization level of the system in comparison with other countries (the United States of America, the People's Republic of China, and the countries of the European Union). The paper presents the tactics and plans of digitalization of each country separately and in comparison. The results of the analysis of the strategy for the introduction of artificial intelligence in the field of domestic healthcare and the healthcare systems of Germany, the USA, and China are presented; the main differences, advantages, and disadvantages are identified. The paper presents the cases of various perspectives in solving urgent problems of the healthcare system based on the experience of other countries; the correlations of complementary strategies and possible consequences are investigated. The paper contains examples of research on the problem of doctors' and patients' trust in artificial intelligence technologies. The creation of digital assistants for patients, predictive analytics, treatment control, and remote monitoring are among the most popular global trends in AI implementation.