title: ÐÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ð¸ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ñ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ° Ð´Ð»Ñ Ð²ÑÑÐ¾ÐºÐ¾ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸ÑÐ½Ð¾Ð¹ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Data-driven Ð¿Ð¾Ð´Ñ Ð¾Ð´Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Challenges and prospects for implementing artificial intelligence for high-tech medicine based on a data-driven approach
Creators: name: ÐÐ¸ÑÐµÐ»ÐµÐ²Ð°, ÐÐ°ÑÐ°Ð»ÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ðµ Ð´Ð°Ð½Ð½ÑÐµ
Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»ÑÐ½ÑÐµ Ð´Ð°Ð½Ð½ÑÐµ
data-driven Ð¿Ð¾Ð´Ñ Ð¾Ð´
Ð²ÑÑÐ¾ÐºÐ¾ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸ÑÐ½Ð°Ñ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ð°
medical data
personal data
data-driven approach
high-tech medicine

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description: Theme of the master's thesis: Â«Challenges and prospects for implementing artificial intelligence for high-tech medicine based on a data-driven approachÂ». The purpose of the research is to identify opportunities, identify problems and assess the prospects of implementing artificial intelligence for high-tech medicine based on a data-driven approach. The study was carried out on the basis of high-tech medical organizations with different legal forms of organization. The subject of the thesis is the set of organizational, legal, financial and technical aspects associated with the introduction of artificial intelligence for high-tech medicine on the basis of data-driven approach.Â Research methods: We used general scientific research methods. The main results of the study:Â â evaluated the investment potential and sources of funding for digital health in the Russian Federation; â analyzed the legal and regulatory framework for the implementation of artificial intelligence for high-tech medicine; â identifies the challenges associated with the implementation of data-driven health-care management projects and indicates how these can be addressed; â identified the prospects for implementing artificial intelligence for high-tech medicine based on a date-driven approach. The field of application of results are the high-tech medical organizations of different right-branch backgrounds in the Russian Federation. Scientific novelty is concluding in determining the potential implementation of artificial intelligence based on a data-driven approach, outlining the problems of implementation and identifying ways to solve them. The results of the study can be used by medical organizations in their further digitalization. Conclusions. The tasks of the thesis have been solved, the goal has been achieved, the scope of the results has been determined.