<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">zdme</journal-id><journal-title-group><journal-title xml:lang="ru">Здоровье мегаполиса</journal-title><trans-title-group xml:lang="en"><trans-title>City Healthcare</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2713-2617</issn><publisher><publisher-name>ГБУ «НИИОЗММ ДЗМ»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.47619/2713-2617.zm.2025.v.6i3;134-143</article-id><article-id custom-type="elpub" pub-id-type="custom">zdme-309</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>НАУЧНЫЙ ДИАЛОГ: ПУБЛИКАЦИИ СОТРУДНИКОВ НИИ ИМ. Н.А. СЕМАШКО</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PUBLICATIONS OF N.A. SEMASHKO NATIONAL RESEARCH INSTITUTE OF PUBLIC HEALTH</subject></subj-group></article-categories><title-group><article-title>Использование цифровых технологий при оказании медицинской помощи в стационаре (обзор зарубежных публикаций)</article-title><trans-title-group xml:lang="en"><trans-title>Digital Technologies in Hospital Medical Care (Review of International Publications)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0008-8092-9202</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Аллау</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Allau</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Аллау Адель Али – аспирант</p><p>105064, Москва, ул. Воронцово Поле, д. 12, стр. 1</p></bio><bio xml:lang="en"><p>Adel A. Allau – Graduate Student</p><p>12, bldg. 1, Vorontsovo Pole ul., Moscow, 105064</p></bio><email xlink:type="simple">Adel.allau@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Национальный научно-исследовательский институт общественного здоровья им. Н.А. Семашко</institution></aff><aff xml:lang="en"><institution>N.A. Semashko National Research Institute of Public Health</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>26</day><month>09</month><year>2025</year></pub-date><volume>6</volume><issue>3</issue><fpage>134</fpage><lpage>143</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Аллау А.А., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Аллау А.А.</copyright-holder><copyright-holder xml:lang="en">Allau A.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.city-healthcare.com/jour/article/view/309">https://www.city-healthcare.com/jour/article/view/309</self-uri><abstract><p>Введение. Использование цифровых технологий становится неотъемлемой частью современного здравоохранения, в особенности в условиях стационарного лечения, позволяя повысить оперативность, точность и персонализацию медицинской помощи, что особенно важно при оказании экстренной помощи и управлении сложными клиническими случаями. Международный опыт демонстрирует значительное улучшение клинических исходов благодаря интеграции цифровых решений, включая искусственный интеллект, интернет вещей и телемедицину. Цель работы – проведение обзора для выявления передового международного опыта в сфере использования цифровых технологий при оказании медицинской помощи в стационаре. Материалы и методы. Данное исследование представляет собой литературный обзор 45 релевантных научных публикаций на английском языке, отобранных через Google Scholar за период с 2020 по май 2025 г., с акцентом на цифровые технологии в хирургических отделениях клинических стационаров. Приоритет отдавался источникам, входящим в Scopus, WoS и содержащим верифицируемые данные о практическом применении цифровых решений (видеосистемы, операционные роботы, ИТ-платформы и др.) в оказании стационарной медицинской помощи. Результаты. Обзор литературы показал, что цифровые технологии радикально трансформируют стационарную медицинскую помощь, расширяя возможности диагностики, лечения и мониторинга пациентов. Международный опыт демонстрирует эффективность таких решений, как телемедицина, интернет вещей, робототехника и ИИ, включая их применение в хирургии и реабилитации. Внедрение этих технологий повышает качество медицинских услуг и снижает нагрузку на персонал, но сопряжено с вызовами, включая стандартизацию и кибербезопасность. Для успешной адаптации в российской практике необходим междисциплинарный подход и развитие собственных технологических компетенций. При этом важно опираться на международный опыт, усиливая взаимодействие с дружественными странами и формируя кадровый потенциал в цифровом здравоохранении.</p></abstract><trans-abstract xml:lang="en"><p>Introduction. Digital technologies are becoming an integral part of modern healthcare, especially in inpatient care. It improves efficiency, accuracy, and personalization of medical care, which is substantial in emergency care provision and complex clinical case management. International experience demonstrates significant improvement in clinical outcomes through the integration of digital solutions, including artificial intelligence, the Internet of Things, and telemedicine. The purpose of the work is to conduct a review to identify best international practices of digital technologies in hospital medical care. Materials and methods. This study is a literary review of 45 relevant scientific publications in English, selected by Google Scholar from 2020 to May 2025, focused on digital technologies in surgical departments of clinical hospitals. Priority was given to the sources containing verified data on digital technologies (video systems, robotic surgery systems, IT platforms, etc.) of inpatient medical care included in Scopus and Web of Science. Results. The literature review has shown that digital technologies are radically transforming inpatient medical care, expanding the scope of diagnostic, treatment, and monitoring frameworks. International experience demonstrates successful application of telemedicine technologies, the Internet of Things, robotic systems, and AI in healthcare, including surgery and rehabilitation. The technologies improve the quality of medical services and reduce staff workload; however, they bring challenges of unified standards and cybersecurity. In Russia their successful implementation requires an interdisciplinary approach and proper technological competencies. Furthermore, it is important to rely on international experience, increase collaboration with friendly countries, and plan workforce capacity in digital healthcare.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>здравоохранение 4.0</kwd><kwd>цифровизация медицины</kwd><kwd>оказание помощи в стационаре</kwd><kwd>цифровизация клинической практики</kwd><kwd>телемедицина</kwd><kwd>операционная робототехника</kwd><kwd>искусственный интеллект в хирургии</kwd></kwd-group><kwd-group xml:lang="en"><kwd>healthcare 4.0</kwd><kwd>digital transformation of medicine</kwd><kwd>providing care in hospitals</kwd><kwd>digital transformation of clinical practice</kwd><kwd>telemedicine</kwd><kwd>robotic surgery systems</kwd><kwd>artificial intelligence in surgery</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Tortorella G.L., Saurin T.A., Fogliatto F.S. et al. Impacts of Healthcare 4.0 digital technologies on the resilience of hospitals. Technological Forecasting and Social Change. 2021;166:120666. https://doi.org/10.1016/j.techfore.2021.120666</mixed-citation><mixed-citation xml:lang="en">Tortorella G.L., Saurin T.A., Fogliatto F.S. et al. Impacts of Healthcare 4.0 digital technologies on the resilience of hospitals. Technological Forecasting and Social Change. 2021;166:120666. https://doi.org/10.1016/j.techfore.2021.120666</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Masood I., Daud A., Wang Y. et al. A blockchain-based system for patient data privacy and security. Multimedia Tools and Applications. 2024;83:60443-60467. https://doi.org/10.1007/s11042-023-17941-y</mixed-citation><mixed-citation xml:lang="en">Masood I., Daud A., Wang Y. et al. A blockchain-based system for patient data privacy and security. Multimedia Tools and Applications. 2024;83:60443-60467. https://doi.org/10.1007/s11042-023-17941-y</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Singh S., Pankaj B., Nagarajan K. et al. Blockchain with cloud for handling healthcare data: A privacy-friendly platform. Materials Today: Proceedings. 2022;62(7):5021-5026. https://doi.org/10.1016/j.matpr.2022.04.910</mixed-citation><mixed-citation xml:lang="en">Singh S., Pankaj B., Nagarajan K. et al. Blockchain with cloud for handling healthcare data: A privacy-friendly platform. Materials Today: Proceedings. 2022;62(7):5021-5026. https://doi.org/10.1016/j.matpr.2022.04.910</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Franzoi M.A., Ferreira A.R., Lemaire A. et al. Implementation of a remote symptom monitoring pathway in oncology care: analysis of real-world experience across 33 cancer centres in France and Belgium. The Lancet Regional Health–Europe. 2024;44:101005 https://doi.org/10.1016/j.lanepe.2024.101005</mixed-citation><mixed-citation xml:lang="en">Franzoi M.A., Ferreira A.R., Lemaire A. et al. Implementation of a remote symptom monitoring pathway in oncology care: analysis of real-world experience across 33 cancer centres in France and Belgium. The Lancet Regional Health–Europe. 2024;44:101005 https://doi.org/10.1016/j.lanepe.2024.101005</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Quinn C. New Medical Technology In Patient Care: A Physician’s Guide. World Scientific. 2025.</mixed-citation><mixed-citation xml:lang="en">Quinn C. New Medical Technology In Patient Care: A Physician’s Guide. World Scientific. 2025.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Tabari P., Costagliola G., De Rosa M., Boeker M. State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review. JMIR Medical Informatics. 2024;12:e58445. https://doi.org/10.2196/58445</mixed-citation><mixed-citation xml:lang="en">Tabari P., Costagliola G., De Rosa M., Boeker M. State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review. JMIR Medical Informatics. 2024;12:e58445. https://doi.org/10.2196/58445</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Uko U.E., Wang Y. (2025). Telemedicine in Healthcare Management; A Decision-Tree Model. In: Wang Y., Yu T., Wang K. (eds) Advanced Manufacturing and Automation XIV. IWAMA 2024. Lecture Notes in Electrical Engineering, vol 1364. Springer, Singapore. https://doi.org/10.1007/978-981-96-2625-0_49</mixed-citation><mixed-citation xml:lang="en">Uko U.E., Wang Y. (2025). Telemedicine in Healthcare Management; A Decision-Tree Model. In: Wang Y., Yu T., Wang K. (eds) Advanced Manufacturing and Automation XIV. IWAMA 2024. Lecture Notes in Electrical Engineering, vol 1364. Springer, Singapore. https://doi.org/10.1007/978-981-96-2625-0_49</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Lai Y., Ho Q., Wang Y. et al. Challenges and strategies of developing internet hospital: Combining qualitative interview and documentary research. Digital Health. 2024;10:20552076241310075. https://doi.org/10.1177/20552076241310075</mixed-citation><mixed-citation xml:lang="en">Lai Y., Ho Q., Wang Y. et al. Challenges and strategies of developing internet hospital: Combining qualitative interview and documentary research. Digital Health. 2024;10:20552076241310075. https://doi.org/10.1177/20552076241310075</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Zhong Y., Hahne J., Wang X. et al. Telehealth care through internet hospitals in China: qualitative interview study of physicians’ views on access, expectations, and communication. Journal of Medical Internet Research. 2024;26:e47523. https://doi.org/10.2196/47523</mixed-citation><mixed-citation xml:lang="en">Zhong Y., Hahne J., Wang X. et al. Telehealth care through internet hospitals in China: qualitative interview study of physicians’ views on access, expectations, and communication. Journal of Medical Internet Research. 2024;26:e47523. https://doi.org/10.2196/47523</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Ärlebrant L., Dubois H., Creutzfeldt J., Edin-Liljegren A. Emergency care via video consultation: interviews on patient experiences from rural community hospitals in northern Sweden. International Journal of Emergency Medicine. 2024;17(1):109. https://doi.org/10.1186/s12245-024-00703-4</mixed-citation><mixed-citation xml:lang="en">Ärlebrant L., Dubois H., Creutzfeldt J., Edin-Liljegren A. Emergency care via video consultation: interviews on patient experiences from rural community hospitals in northern Sweden. International Journal of Emergency Medicine. 2024;17(1):109. https://doi.org/10.1186/s12245-024-00703-4</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Desai M.P., Ross J. B., Blitzer S. et al. Hospital-Level Care at Home for Acutely Ill Adults in Rural Settings: Proof of Concept. Home Healthcare Now. 2024;42(1):21-30. https://doi.org/10.1097/NHH.0000000000001227</mixed-citation><mixed-citation xml:lang="en">Desai M.P., Ross J. B., Blitzer S. et al. Hospital-Level Care at Home for Acutely Ill Adults in Rural Settings: Proof of Concept. Home Healthcare Now. 2024;42(1):21-30. https://doi.org/10.1097/NHH.0000000000001227</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Eisenmann M., Spreckelsen C., Rauschenberger V. et al. A qualitative, multi-centre approach to the current state of digitalisation and automation of surveillance in infection prevention and control in German hospitals. Antimicrobial Resistance &amp; Infection Control. 2024;13(1):78. https://doi.org/10.1186/s13756-024-01436-y</mixed-citation><mixed-citation xml:lang="en">Eisenmann M., Spreckelsen C., Rauschenberger V. et al. A qualitative, multi-centre approach to the current state of digitalisation and automation of surveillance in infection prevention and control in German hospitals. Antimicrobial Resistance &amp; Infection Control. 2024;13(1):78. https://doi.org/10.1186/s13756-024-01436-y</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Urkude S.V., Sahoo D. (2025). Adoption of Robotics Technology in Health Care: An Empirical Study in Emerging Economy. In: Bhateja V., Dey M., Senkerik R. (eds) Innovations in Information and Decision Sciences. FICTA 2024 2024. Smart Innovation, Systems and Technologies, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-96-0147-9_24</mixed-citation><mixed-citation xml:lang="en">Urkude S.V., Sahoo D. (2025). Adoption of Robotics Technology in Health Care: An Empirical Study in Emerging Economy. In: Bhateja V., Dey M., Senkerik R. (eds) Innovations in Information and Decision Sciences. FICTA 2024 2024. Smart Innovation, Systems and Technologies, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-96-0147-9_24</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Di Nuovo A. Pilot Study for a Robot-Assisted Timed Up and Go Assessment. 2024.</mixed-citation><mixed-citation xml:lang="en">Di Nuovo A. Pilot Study for a Robot-Assisted Timed Up and Go Assessment. 2024.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Manas N., Pawan S.S.S., Mallina M., Reddy D.A. Robotics in Medical and Health Care: A Critical Review. Advances in Computational Intelligence and Its Applications. 2024. ISBN 9781003488682. https://doi.org/10.1201/9781003488682-8</mixed-citation><mixed-citation xml:lang="en">Manas N., Pawan S.S.S., Mallina M., Reddy D.A. Robotics in Medical and Health Care: A Critical Review. Advances in Computational Intelligence and Its Applications. 2024. ISBN 9781003488682. https://doi.org/10.1201/9781003488682-8</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Chen T., Guan J. The Mental Companion Mode of Nursing Robots—A Study on Affective Computing-Based Companionship Strategies for Alzheimer’s Disease Patients. Innovative Applications of AI. 2025;2(1):28-34. https://doi.org/10.70695/IAAI202501A2</mixed-citation><mixed-citation xml:lang="en">Chen T., Guan J. The Mental Companion Mode of Nursing Robots—A Study on Affective Computing-Based Companionship Strategies for Alzheimer’s Disease Patients. Innovative Applications of AI. 2025;2(1):28-34. https://doi.org/10.70695/IAAI202501A2</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Han I.H., Kim D.H., Nam K.H. et al. Human-Robot Interaction and Social Robot: The Emerging Field of Healthcare Robotics and Current and Future Perspectives for Spinal Care. Neurospine. 2024;21(3):868-877. https://doi.org/10.14245/ns.2448432.216</mixed-citation><mixed-citation xml:lang="en">Han I.H., Kim D.H., Nam K.H. et al. Human-Robot Interaction and Social Robot: The Emerging Field of Healthcare Robotics and Current and Future Perspectives for Spinal Care. Neurospine. 2024;21(3):868-877. https://doi.org/10.14245/ns.2448432.216</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Al Khatib I., Shamayleh A., Ndiaye M. Healthcare and the internet of medical things: applications, trends, key challenges, and proposed resolutions. In Informatics. MDPI. 2024;11(3):47. https://doi.org/10.3390/informatics11030047</mixed-citation><mixed-citation xml:lang="en">Al Khatib I., Shamayleh A., Ndiaye M. Healthcare and the internet of medical things: applications, trends, key challenges, and proposed resolutions. In Informatics. MDPI. 2024;11(3):47. https://doi.org/10.3390/informatics11030047</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Bai Y., Gu B., Tang C. Enhancing Real-Time Patient Monitoring in Intensive Care Units with Deep Learning and the Internet of Things. Big Data. 2025. https://doi.org/10.1089/big.2024.0113</mixed-citation><mixed-citation xml:lang="en">Bai Y., Gu B., Tang C. Enhancing Real-Time Patient Monitoring in Intensive Care Units with Deep Learning and the Internet of Things. Big Data. 2025. https://doi.org/10.1089/big.2024.0113</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Manchadi O., Ben-bouazza F.E., Dehbi Z.E.O. et al. An Internet of Things-based Predictive Maintenance Architecture for Intensive Care Unit Ventilators. International Journal of Advanced Computer Science &amp; Applications. 2024;15(2):932-943.</mixed-citation><mixed-citation xml:lang="en">Manchadi O., Ben-bouazza F.E., Dehbi Z.E.O. et al. An Internet of Things-based Predictive Maintenance Architecture for Intensive Care Unit Ventilators. International Journal of Advanced Computer Science &amp; Applications. 2024;15(2):932-943.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Oun A., Hagerdorn N., Scheideger C., Cheng X. Mobile devices or head-mounted displays: a comparative review and analysis of augmented reality in healthcare. IEEE Access. 2024;12:21825-21839. https://doi.org/10.1109/ACCESS.2024.3361833</mixed-citation><mixed-citation xml:lang="en">Oun A., Hagerdorn N., Scheideger C., Cheng X. Mobile devices or head-mounted displays: a comparative review and analysis of augmented reality in healthcare. IEEE Access. 2024;12:21825-21839. https://doi.org/10.1109/ACCESS.2024.3361833</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Aamir A., Iqbal A., Jawed F. et al. Exploring the current and prospective role of artificial intelligence in disease diagnosis. Annals of Medicine and Surgery. 2024;86(2):943-949. https://doi.org/10.1097/MS9.0000000000001700</mixed-citation><mixed-citation xml:lang="en">Aamir A., Iqbal A., Jawed F. et al. Exploring the current and prospective role of artificial intelligence in disease diagnosis. Annals of Medicine and Surgery. 2024;86(2):943-949. https://doi.org/10.1097/MS9.0000000000001700</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Bilgin G.B., Bilgin C., Burkett B.J. et al. Theranostics and artificial intelligence: new frontiers in personalized medicine. Theranostics. 2024;14(6):2367-2378. https://doi.org/10.7150/thno.94788</mixed-citation><mixed-citation xml:lang="en">Bilgin G.B., Bilgin C., Burkett B.J. et al. Theranostics and artificial intelligence: new frontiers in personalized medicine. Theranostics. 2024;14(6):2367-2378. https://doi.org/10.7150/thno.94788</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang T., Tan T., Wang X. et al. RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease. Cell Reports Medicine. 2023;4(8):101131. https://doi.org/10.1016/j. xcrm.2023.101131</mixed-citation><mixed-citation xml:lang="en">Zhang T., Tan T., Wang X. et al. RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease. Cell Reports Medicine. 2023;4(8):101131. https://doi.org/10.1016/j. xcrm.2023.101131</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Loftus T.J., Tighe P.J., Filiberto A.C. et al. Artificial intelligence and surgical decision-making. JAMA surgery. 2020;155(2):148-158. https://doi.org/10.1001/jamasurg.2019.4917</mixed-citation><mixed-citation xml:lang="en">Loftus T.J., Tighe P.J., Filiberto A.C. et al. Artificial intelligence and surgical decision-making. JAMA surgery. 2020;155(2):148-158. https://doi.org/10.1001/jamasurg.2019.4917</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Varghese C., Harrison E.M., O’Grady G., Topol E.J. Artificial intelligence in surgery. Nature medicine. 2024;30(5):1257-1268. https://doi.org/10.1038/s41591-024-02970-3</mixed-citation><mixed-citation xml:lang="en">Varghese C., Harrison E.M., O’Grady G., Topol E.J. Artificial intelligence in surgery. Nature medicine. 2024;30(5):1257-1268. https://doi.org/10.1038/s41591-024-02970-3</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Rajpurkar P., Chen E., Banerjee O., Topol E.J. AI in health and medicine. Nature medicine. 2022;28(1):31-38. https://doi.org/10.1038/s41591-021-01614-0</mixed-citation><mixed-citation xml:lang="en">Rajpurkar P., Chen E., Banerjee O., Topol E.J. AI in health and medicine. Nature medicine. 2022;28(1):31-38. https://doi.org/10.1038/s41591-021-01614-0</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Ali R., Connolly I.D., Tang O.Y. et al. Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. NPJ Digital Medicine. 2024;7(1):63. https://doi.org/10.1038/s41746-024-01039-2</mixed-citation><mixed-citation xml:lang="en">Ali R., Connolly I.D., Tang O.Y. et al. Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. NPJ Digital Medicine. 2024;7(1):63. https://doi.org/10.1038/s41746-024-01039-2</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Vernooij J.E.M., Koning N.J., Geurts J.W. et al. Performance and usability of preoperative prediction models for 30 day perioperative mortality risk: a systematic review. Anaesthesia. 2023;78(5):607-619. https://doi.org/10.1111/anae.15988</mixed-citation><mixed-citation xml:lang="en">Vernooij J.E.M., Koning N.J., Geurts J.W. et al. Performance and usability of preoperative prediction models for 30 day perioperative mortality risk: a systematic review. Anaesthesia. 2023;78(5):607-619. https://doi.org/10.1111/anae.15988</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Finlayson S.G., Beam A.L., van Smeden M. Machine learning and statistics in clinical research articles— moving past the false dichotomy. JAMA pediatrics. 2023;177(5):448-450. https://doi.org/10.1001/jamapediatrics.2023.0034</mixed-citation><mixed-citation xml:lang="en">Finlayson S.G., Beam A.L., van Smeden M. Machine learning and statistics in clinical research articles— moving past the false dichotomy. JAMA pediatrics. 2023;177(5):448-450. https://doi.org/10.1001/jamapediatrics.2023.0034</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Bellos T., Manolitsis I., Katsimperis S. et al. Artificial intelligence in urologic robotic oncologic surgery: a narrative review. Cancers. 2024;16(9):1775. https://doi.org/10.3390/cancers16091775</mixed-citation><mixed-citation xml:lang="en">Bellos T., Manolitsis I., Katsimperis S. et al. Artificial intelligence in urologic robotic oncologic surgery: a narrative review. Cancers. 2024;16(9):1775. https://doi.org/10.3390/cancers16091775</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Guni A., Varma P., Zhang J., Fehervari M., Ashrafian H. Artificial intelligence in surgery: the future is now. European Surgical Research. 2024. https://doi.org/10.1159/000536393</mixed-citation><mixed-citation xml:lang="en">Guni A., Varma P., Zhang J., Fehervari M., Ashrafian H. Artificial intelligence in surgery: the future is now. European Surgical Research. 2024. https://doi.org/10.1159/000536393</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Fairag M., Almahdi R.H., Siddiqi A.A. et al. Robotic revolution in surgery: diverse applications across specialties and future prospects review article. Cureus. 2024;16(1):e52148. https://doi.org/10.7759/cureus.52148</mixed-citation><mixed-citation xml:lang="en">Fairag M., Almahdi R.H., Siddiqi A.A. et al. Robotic revolution in surgery: diverse applications across specialties and future prospects review article. Cureus. 2024;16(1):e52148. https://doi.org/10.7759/cureus.52148</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Hashimoto D.A., Ward T.M., Meireles O.R. The role of artificial intelligence in surgery. Advances in Surgery. 2020;54:89-101. https://doi.org/10.1016/j.yasu.2020.05.010</mixed-citation><mixed-citation xml:lang="en">Hashimoto D.A., Ward T.M., Meireles O.R. The role of artificial intelligence in surgery. Advances in Surgery. 2020;54:89-101. https://doi.org/10.1016/j.yasu.2020.05.010</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Madani A., Namazi B., Altieri M.S. et al. Artificial intelligence for intraoperative guidance: using semantic segmentation to identify surgical anatomy during laparoscopic cholecystectomy. Annals of surgery. 2022;276(2):363-369. https://doi.org/10.1097/SLA.0000000000004594</mixed-citation><mixed-citation xml:lang="en">Madani A., Namazi B., Altieri M.S. et al. Artificial intelligence for intraoperative guidance: using semantic segmentation to identify surgical anatomy during laparoscopic cholecystectomy. Annals of surgery. 2022;276(2):363-369. https://doi.org/10.1097/SLA.0000000000004594</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Nespolo R.G., Yi D., Cole E. et al. Evaluation of artificial intelligence–based intraoperative guidance tools for phacoemulsification cataract surgery. JAMA ophthalmology. 2022;140(2):170-177. https://doi.org/10.1001/jamaophthalmol.2021.5742</mixed-citation><mixed-citation xml:lang="en">Nespolo R.G., Yi D., Cole E. et al. Evaluation of artificial intelligence–based intraoperative guidance tools for phacoemulsification cataract surgery. JAMA ophthalmology. 2022;140(2):170-177. https://doi.org/10.1001/jamaophthalmol.2021.5742</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Li A., Javidan A.P., Namazi B. et al. Development of an artificial intelligence tool for intraoperative guidance during endovascular aneurysm repair. Journal of Vascular Surgery. 2022;76(4):e114-e115. https://doi.org/10.1016/j.avsg.2023.08.027</mixed-citation><mixed-citation xml:lang="en">Li A., Javidan A.P., Namazi B. et al. Development of an artificial intelligence tool for intraoperative guidance during endovascular aneurysm repair. Journal of Vascular Surgery. 2022;76(4):e114-e115. https://doi.org/10.1016/j.avsg.2023.08.027</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Ciuti G., Webster R.J., Kwok K.W., Menciassi A. Robotic surgery. Nature Reviews Bioengineering. 2025;3(7):565-578. https://doi.org/10.1038/s44222-025-00294-6</mixed-citation><mixed-citation xml:lang="en">Ciuti G., Webster R.J., Kwok K.W., Menciassi A. Robotic surgery. Nature Reviews Bioengineering. 2025;3(7):565-578. https://doi.org/10.1038/s44222-025-00294-6</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Liu Y., Wu X., Sang Y. et al. Evolution of surgical robot systems enhanced by artificial intelligence: A review. Advanced Intelligent Systems. 2024;6(5):2300268. https://doi.org/10.1002/aisy.202300268</mixed-citation><mixed-citation xml:lang="en">Liu Y., Wu X., Sang Y. et al. Evolution of surgical robot systems enhanced by artificial intelligence: A review. Advanced Intelligent Systems. 2024;6(5):2300268. https://doi.org/10.1002/aisy.202300268</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Takeuchi M., Kawakubo H., Saito K. et al. Automated surgical-phase recognition for robot-assisted minimally invasive esophagectomy using artificial intelligence. Annals of Surgical Oncology. 2022;29(11):6847- 6855. https://doi.org/10.1245/s10434-022-11996-1</mixed-citation><mixed-citation xml:lang="en">Takeuchi M., Kawakubo H., Saito K. et al. Automated surgical-phase recognition for robot-assisted minimally invasive esophagectomy using artificial intelligence. Annals of Surgical Oncology. 2022;29(11):6847- 6855. https://doi.org/10.1245/s10434-022-11996-1</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Wang J., Zhang L., Huang Y., Zhao J. Safety of autonomous vehicles. Journal of advanced transportation. 2020;1-13. https://doi.org/doi:10.1155/2020/8867757</mixed-citation><mixed-citation xml:lang="en">Wang J., Zhang L., Huang Y., Zhao J. Safety of autonomous vehicles. Journal of advanced transportation. 2020;1-13. https://doi.org/doi:10.1155/2020/8867757</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang L., Qi X., Peng Y. et al. Review on Development Status, Challenges and Development Trends of Surgical Robots. In 2024 IEEE International Conference on Mechatronics and Automation (ICMA). 2024:709- 714. https://doi.org/10.1109/ICMA49215.2020.9233776</mixed-citation><mixed-citation xml:lang="en">Zhang L., Qi X., Peng Y. et al. Review on Development Status, Challenges and Development Trends of Surgical Robots. In 2024 IEEE International Conference on Mechatronics and Automation (ICMA). 2024:709- 714. https://doi.org/10.1109/ICMA49215.2020.9233776</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Han H., Li R., Fu D. et al. Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery. BMC surgery. 2024;24(1):345. https://doi.org/10.1186/s12893-024-02646-2</mixed-citation><mixed-citation xml:lang="en">Han H., Li R., Fu D. et al. Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery. BMC surgery. 2024;24(1):345. https://doi.org/10.1186/s12893-024-02646-2</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Wang R., Situ X., Sun X. et al. Assessing AI in Various Elements of Enhanced Recovery After Surgery (ERAS)-Guided Ankle Fracture Treatment: A Comparative Analysis with Expert Agreement. Journal of Multidisciplinary Healthcare. 2025;18:1629-1638. https://doi.org/10.2147/JMDH.S508511</mixed-citation><mixed-citation xml:lang="en">Wang R., Situ X., Sun X. et al. Assessing AI in Various Elements of Enhanced Recovery After Surgery (ERAS)-Guided Ankle Fracture Treatment: A Comparative Analysis with Expert Agreement. Journal of Multidisciplinary Healthcare. 2025;18:1629-1638. https://doi.org/10.2147/JMDH.S508511</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Zain Z., Almadhoun M.K.I.K., Alsadoun L. at al. Leveraging artificial intelligence and machine learning to optimize enhanced recovery after surgery (ERAS) protocols. Cureus. 2024;16(3):e56668. https://doi.org/10.7759/cureus.56668.</mixed-citation><mixed-citation xml:lang="en">Zain Z., Almadhoun M.K.I.K., Alsadoun L. at al. Leveraging artificial intelligence and machine learning to optimize enhanced recovery after surgery (ERAS) protocols. Cureus. 2024;16(3):e56668. https://doi.org/10.7759/cureus.56668.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
