The place of artificial intelligence in modern healthcare and medical education

Author:

Afonin A. N.1ORCID,Kiseleva N. N.ORCID,Yaremenko A. I.1ORCID,Vishnyakov N. I.1ORCID

Affiliation:

1. Pavlov University

Abstract

Introduction. Artificial Intelligence (AI) is becoming an increasingly important tool in modern healthcare. It can revolutionize the ways of medical care, from diagnosis and treatment to high-tech medical care; and make adjustments to modern medical education by providing new methods of teaching and learning. This article considers the place of AI in modern healthcare and medical education, including its benefits, issues and future prospects for using these technologies.The objective was to identify opportunities, define problems, and evaluate the prospects for the use of AI in healthcare and medical education. Methods and materials. The main general scientific research methods (dialectics, induction, deduction, description, comparison, analogy) and specific scientific methods (logical-analytical, system-structural, statistical, etc.). The sources of open information served as the materials for analysis.Results. As a result of this research, the most promising directions of using AI in health care and medical education have been identified, the problems of using these technologies have been defined and ways to overcome them have been outlined.Conclusion. AI is a rapidly growing field of innovation that has the potential to transform many sectors, including health care and medical education, revolutionizing not only the ways of medical care, making it more efficient, accurate and personalized, but also modernizing teaching and learning methods in medical education. However, there are a number of problems associated with the application of AI technologies that require further research into the totality of interactions between all actors (AI technologies, patients, doctors, medical staff, etc.) and the impact of digital technologies on human capacity in terms of medical care, taking into account serious internal risks and external threats that should be considered when making decisions about the introduction of AI technologies in an uncertain, contemporary geopolitical and economic environment, as well as sanctions constraints.

Publisher

FSBEI HE I.P. Pavlov SPbSMU MOH Russia

Subject

Urology,Nephrology

Reference26 articles.

1. WHO: Draft global digital health strategy 2020–2025. (In Russ.). Available at: https://www.who.int/docs/default-source/documents/200067-draft-global-strategy-on-digital-health-2020-2024-ru.pdf?sfvrsn=e9d760b3_2 (accessed: 10.10.23).

2. The Russian Federation State Programme «Development of Healthcare» was approved by Government Decree No. 1640 of 26.12.2017 «On Approval of the Russian Federation State Programme «Development of Healthcare». (In Russ.). Available at: https://base.garant.ru/71848440/ (accessed: 10.10.23).

3. President’s Address to the Federal Assembly. Moscow. 20.02.2019. Official website of the Kremlin. (In Russ.). Available at: http://www.kremlin.ru/events/president/news/59863 (accessed: 10.10.23).

4. Presidential Decree No. 204 of 7 May 2018 «On the National Goals and Strategic Development Goals of the Russian Federation for the period until 2024». (In Russ.). Available at: https://base.garant.ru/71848440/ (accessed: 10.10.23).

5. Presidential Decree No. 474 of 21.07.2020 «On the National Development Goals of the Russian Federation for the period until 2030». (In Russ.). Available at: https://www.garant.ru/hotlaw/federal/1401794/ (accessed: 10.10.23).

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