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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Issues of Economic Theory</journal-id><journal-title-group><journal-title xml:lang="en">Issues of Economic Theory</journal-title><trans-title-group xml:lang="ru"><trans-title>Вопросы теоретической экономики</trans-title></trans-title-group></journal-title-group><issn publication-format="electronic">2587-7666</issn><publisher><publisher-name xml:lang="en">Институт экономики Российской академии наук</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">396315</article-id><article-id pub-id-type="doi">10.52342/2587-7666VTE_2026_1_215_227</article-id><article-id pub-id-type="edn">VAPZCT</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Reviews and Reviews</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Обзоры и рецензии</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">ARTIFICIAL INTELLIGENCE IN HEALTHCARE: «MEDICINE» OR «POISON»?</article-title><trans-title-group xml:lang="ru"><trans-title>ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В ЗДРАВООХРАНЕНИИ: «ЛЕКАРСТВО» ИЛИ «ЯД»?</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4144-237X</contrib-id><name-alternatives><name xml:lang="en"><surname>Kislitsyna</surname><given-names>Olga</given-names></name><name xml:lang="ru"><surname>Кислицына</surname><given-names>Ольга Анатольевна</given-names></name></name-alternatives><bio xml:lang="en"><p><italic>doctor habilitatus in economics, chief research fellow</italic></p></bio><bio xml:lang="ru"><p><italic>доктор экономических наук, главный научный сотрудник</italic></p></bio><email>olga.kislitsyna@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Institute of economics of the Russian Academy of sciences</institution></aff><aff><institution xml:lang="ru">ФГБУН Институт экономики РАН</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2026-03-19" publication-format="electronic"><day>19</day><month>03</month><year>2026</year></pub-date><volume>30</volume><issue>1</issue><issue-title xml:lang="ru"/><fpage>215</fpage><lpage>227</lpage><history><date date-type="received" iso-8601-date="2026-03-19"><day>19</day><month>03</month><year>2026</year></date><date date-type="accepted" iso-8601-date="2026-03-19"><day>19</day><month>03</month><year>2026</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2026, Kislitsyna O.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2026, Кислицына О.А.</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="en">Kislitsyna O.</copyright-holder><copyright-holder xml:lang="ru">Кислицына О.А.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journal-vniispk.ru/2587-7666/article/view/396315">https://journal-vniispk.ru/2587-7666/article/view/396315</self-uri><abstract xml:lang="en"><p>The cost of medical treatment is increasing worldwide due to population growth, aging, the spread of chronic diseases, expanded access to healthcare, and the rising cost of technologies and pharmaceuticals. Against this backdrop, artificial intelligence (AI) is becoming increasingly important. AI is used in diagnostics, drug development, surgery, administrative processes, rehabilitation, personalized treatment, and telemedicine. It accelerates processes, reduces costs, and improves the accuracy and quality of care. However, its use is subject to debate. The aim of this study is to identify the benefits and risks of using AI in healthcare based on an analysis of publications in Russian and English. It has been established that the introduction of AI into healthcare provides various medical benefits (decision support, personalized treatment, disease prediction, improved surgical accuracy, mental health assistance), as well as economic and social advantages (cost reduction, increased accessibility, automation of tasks, faster diagnostics, expansion of patient capabilities through wearable devices). The risks of AI can be grouped into ethical and policy-legal risks (possible errors and lack of accountability, loss of empathy, excessive dependence on AI, threats to privacy and national security, lack of legal frameworks and regulatory standards), socio-economic risks (high implementation costs, the risk of increasing inequality and the digital divide, resistance from doctors and patients), and technological risks (limited and biased data, insufficient transparency and reliability of models, difficulties in integrating AI into clinical practice). Thus, AI has enormous potential in healthcare, but its implementation is associated with serious challenges. For now, the risks predominate; therefore, its use should be gradual, with clear oversight and well-defined ethical and legal frameworks.</p></abstract><trans-abstract xml:lang="ru"><p>Стоимость медицинского обслуживания населения увеличивается по всему миру из-за роста населения, старения, распространения хронических заболеваний, расширения доступа к медицине и удорожания технологий и препаратов. На этом фоне всё большее значение приобретает искусственный интеллект (ИИ). ИИ применяется в диагностике, разработке лекарств, хирургии, административных процессах, реабилитации, индивидуализации лечения и в удалённой медицине. Он ускоряет процессы, снижает затраты, повышает точность и качество лечения. Однако его использование вызывает споры. Цель исследования – выявить преимущества и риски применения ИИ в здравоохранении на основе анализа публикаций на русском и английском языках. Установлено, что внедрение ИИ в здравоохранение обеспечивает различные медицинские (поддержка принятия решений, персонализированное лечение, прогнозирование заболеваний, повышение точности хирургии, помощь в сфере психического здоровья), экономические и социальные преимущества (снижение расходов, повышение доступности, автоматизация задач, ускорение диагностики, расширение возможностей для пациентов через носимые устройства). Риски ИИ можно сгруппировать как этические и политико-правовые (возможные ошибки и отсутствие ответственности, потеря эмпатии, чрезмерная зависимость от ИИ, угрозы конфиденциальности и национальной безопасности, отсутствие правовой базы и стандартов регулирования), социально-экономические (высокие затраты на внедрение, риск усиления неравенства и цифрового разрыва, сопротивление со стороны как врачей, так и пациентов), технологические (ограниченность и предвзятость данных, недостаточная прозрачность и надёжность моделей, трудности интеграции в клиническую практику). Таким образом, ИИ имеет огромный потенциал в здравоохранении, но его внедрение связано с серьёзными вызовами. Поскольку риски пока преобладают, его использование должно быть поэтапным, с чётким контролем, ограничением этическими и правовыми рамками.</p></trans-abstract><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>healthcare</kwd><kwd>medical technologies</kwd><kwd>advantages</kwd><kwd>disadvantages</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>искусственный интеллект</kwd><kwd>здравоохранение</kwd><kwd>медицинские технологии</kwd><kwd>преимущества</kwd><kwd>недостатки</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Alikperova N.V. (2023). Artificial Intelligence in Healthcare: Risks and Opportunities // The health of the metropolis. No. 4 (3). Pp. 41–49. DOI: 10.47619/2713-2617.zm.2023.v.4i3;41-49. (In Russ.).</mixed-citation><mixed-citation xml:lang="ru">Аликперова Н.В. (2023). 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