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  • СИСТЕМЫ ПОДДЕРЖКИ ПРИНЯТИЯ ВРАЧЕБНЫХ РЕШЕНИЙ; АНАЛИЗ МУЛЬТИМОДАЛЬНЫХ ДАННЫХ, РАЗНИЦА «ЧЕЛОВЕЧЕСКОГО» И «МАШИННОГО» ПОДХОДОВ, СОЦИАЛЬНАЯ ПРОБЛЕМАТИКА СБОРА И ОБОРОТА БИОМЕДИЦИНСКИХ ДАННЫХ
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Subject
News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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СИСТЕМЫ ПОДДЕРЖКИ ПРИНЯТИЯ ВРАЧЕБНЫХ РЕШЕНИЙ; АНАЛИЗ МУЛЬТИМОДАЛЬНЫХ ДАННЫХ, РАЗНИЦА «ЧЕЛОВЕЧЕСКОГО» И «МАШИННОГО» ПОДХОДОВ, СОЦИАЛЬНАЯ ПРОБЛЕМАТИКА СБОРА И ОБОРОТА БИОМЕДИЦИНСКИХ ДАННЫХ

Врач и информационные технологии. 2020. № 2. С. 28–35.
Румянцев П. О., Мурашко М. М., Купреев П., Мелерзанов А. В.

Artificial intelligence technologies based physicians decision support systems is an important step of healthcare digital transformation. Despite of neuronet algorithms implementation into analytical systems benefits there are questions that have to be solved for digital healthcare successful launch. In addition to knowledge expert level for systems development and privacy warranties work with professional medical society and general public is essential for psychological and social barriers overcoming during transmission to digital economics.

Language: Russian
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Keywords: экономика здравоохраненияэкономика здравоохранения и социального обеспеченияhealth economicsartificial intelligenceорганизация и экономика здравоохраненияуправление и экономика здравоохраненияpublic health and healthcareПоддержка принятия решенийDecision support system (DSS)biomedical data turnoverискусственный интеллект в здравоохраненииоборот биомедицинских данныхцифровая трансформация здравоохраненияdigital transformation
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