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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="review-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">N.N. Priorov Journal of Traumatology and Orthopedics</journal-id><journal-title-group><journal-title xml:lang="en">N.N. Priorov Journal of Traumatology and Orthopedics</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник травматологии и ортопедии им. Н.Н. Приорова</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0869-8678</issn><issn publication-format="electronic">2658-6738</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">642647</article-id><article-id pub-id-type="doi">10.17816/vto642647</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Reviews</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Обзоры</subject></subj-group><subj-group subj-group-type="article-type"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Prospects for the generative artificial intelligence application in surgery, traumatology and orthopedics</article-title><trans-title-group xml:lang="ru"><trans-title>Перспективы использования генеративного искусственного интеллекта в хирургии, травматологии и ортопедии</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1314-2887</contrib-id><contrib-id contrib-id-type="spin">1402-5186</contrib-id><name-alternatives><name xml:lang="en"><surname>Nazarenko</surname><given-names>Anton G.</given-names></name><name xml:lang="ru"><surname>Назаренко</surname><given-names>Антон Герасимович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Dr. Sci. (Medicine), рrofessor RAS</p></bio><bio xml:lang="ru"><p>д-р мед. наук, профессор РАН</p></bio><email>NazarenkoAG@cito.priorov.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8745-6195</contrib-id><contrib-id contrib-id-type="spin">2037-7164</contrib-id><name-alternatives><name xml:lang="en"><surname>Kleimenova</surname><given-names>Elena B.</given-names></name><name xml:lang="ru"><surname>Клеймёнова</surname><given-names>Елена Борисовна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Dr. Sci. (Medicine), рrofessor</p></bio><bio xml:lang="ru"><p>д-р мед. наук, профессор</p></bio><email>KleymenovaEB@cito-priorov.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2380-2394</contrib-id><contrib-id contrib-id-type="spin">6321-6733</contrib-id><name-alternatives><name xml:lang="en"><surname>Kakabadze</surname><given-names>Nodari M.</given-names></name><name xml:lang="ru"><surname>Какабадзе</surname><given-names>Нодари Малхазович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>KakabadzeNM@cito-priorov.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0039-943X</contrib-id><contrib-id contrib-id-type="spin">3378-7234</contrib-id><name-alternatives><name xml:lang="en"><surname>Molodchenkov</surname><given-names>Alexey I.</given-names></name><name xml:lang="ru"><surname>Молодченков</surname><given-names>Алексей Игоревич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Engineering)</p></bio><bio xml:lang="ru"><p>канд. тех. наук</p></bio><email>aim@isa.ru</email><xref ref-type="aff" rid="aff2"/><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1357-0056</contrib-id><contrib-id contrib-id-type="spin">1910-0484</contrib-id><name-alternatives><name xml:lang="en"><surname>Yashina</surname><given-names>Liubov P.</given-names></name><name xml:lang="ru"><surname>Яшина</surname><given-names>Любовь Петровна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Biology)</p></bio><bio xml:lang="ru"><p>канд. биол. наук</p></bio><email>YashinaLP@cito-priorov.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Priorov National Medical Research Center for Traumatology and Orthopedics</institution></aff><aff><institution xml:lang="ru">Национальный медицинский исследовательский центр травматологии и ортопедии им. Н.Н. Приорова</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Федеральный исследовательский центр «Информатика и управление» РАН</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Peoples’ Friendship University of Russia</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2025-03-17" publication-format="electronic"><day>17</day><month>03</month><year>2025</year></pub-date><pub-date date-type="pub" iso-8601-date="2025-02-15" publication-format="electronic"><day>15</day><month>02</month><year>2025</year></pub-date><volume>32</volume><issue>1</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>221</fpage><lpage>239</lpage><history><date date-type="received" iso-8601-date="2024-12-06"><day>06</day><month>12</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2024-12-09"><day>09</day><month>12</month><year>2024</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Эко-Вектор</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Eco-Vector</copyright-holder><copyright-holder xml:lang="ru">Эко-Вектор</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2026-04-08"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc-nd/4.0/</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.eco-vector.com/0869-8678/article/view/642647">https://journals.eco-vector.com/0869-8678/article/view/642647</self-uri><abstract xml:lang="en"><p>The review considers the use of generative artificial intelligence technologies in surgery, traumatology and orthopedics. Definitions of key generative artificial intelligence technologies are given, as well as the difference between discriminative and generative models of artificial intelligence. An analysis of publication activity on the use of generative artificial intelligence in surgery, traumatology and orthopedics in world macroregions is conducted. The potential role of various generative artificial intelligence models at the preoperative, intraoperative and postoperative stages of healthcare is analyzed. Data on the results of clinical application of generative artificial intelligence and the most common problems associated with the practical use of various generative artificial intelligence applications are provided including issues of quality and safety of surgical care. The review proposes potential solutions and research directions to address these problems.</p></abstract><trans-abstract xml:lang="ru"><p>В обзоре рассматривается использование технологий генеративного искусственного интеллекта в хирургии, травматологии и ортопедии. Даны определения ключевых технологий генеративного искусственного интеллекта, а также отличия дискриминативных моделей искусственного интеллекта от генеративных. Проведён анализ публикационной активности по применению генеративного искусственного интеллекта в хирургии, травматологии и ортопедии по макрорегионам мира. Проанализирована потенциальная роль различных моделей генеративного искусственного интеллекта на предоперационном, интраоперационном и послеоперационном этапах лечения пациентов. Приводятся данные о результатах клинического применения генеративного искусственного интеллекта в указанных областях и наиболее распространённые проблемы, связанные с практическим использованием различных приложений генеративного искусственного интеллекта, включая вопросы обеспечения качества и безопасности хирургической помощи. В обзоре предлагаются потенциальные решения и направления исследований для решения этих проблем.</p></trans-abstract><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>large language models</kwd><kwd>chatbot</kwd><kwd>surgical safety</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>искусственный интеллект</kwd><kwd>большие языковые модели</kwd><kwd>чат-бот</kwd><kwd>хирургическая безопасность</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="en">Russian Science Foundation</institution></institution-wrap><institution-wrap><institution xml:lang="ru">Российский научный фонд</institution></institution-wrap></funding-source><award-id>24-14-00310</award-id></award-group><funding-statement xml:lang="en">This work was supported by the Russian Science Foundation (RSF project No. 24-14-00310).</funding-statement><funding-statement xml:lang="ru">Исследование и публикация осуществлены при поддержке Российского научного фонда (грант РНФ № 24-14-00310).</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Goldman S. 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