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<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">rehab</journal-id><journal-title-group><journal-title xml:lang="ru">Реабилитология</journal-title><trans-title-group xml:lang="en"><trans-title>Journal of Medical Rehabilitation</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2949-5873</issn><issn pub-type="epub">2949-5881</issn><publisher><publisher-name>IRBIS LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17749/2949-5873/rehabil.2026.65</article-id><article-id custom-type="elpub" pub-id-type="custom">rehab-152</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>ОБЗОРНЫЕ СТАТЬИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEW ARTICLES</subject></subj-group></article-categories><title-group><article-title>Технологии искусственного интеллекта в реабилитации пациентов после системного противоопухолевого лечения</article-title><trans-title-group xml:lang="en"><trans-title>Artificial intelligence technologies for patient rehabilitation  after systemic anticancer therapy</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6132-9924</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ковалева</surname><given-names>О. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kovaleva</surname><given-names>O. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ковалева Ольга Владимировна, д.б.н.</p><p>Каширское ш., д. 24, Москва 115522</p><p>WoS ResearcherID: T-6984-2017. Scopus Author ID: 36096645200</p></bio><bio xml:lang="en"><p>Olga V. Kovaleva, Dr. Sci. Biol.</p><p>WoS ResearcherID: T-6984-2017. Scopus Author ID: 36096645200</p><p>24 Kashirskoe Shosse, Moscow 115522</p></bio><email xlink:type="simple">ovkovaleva@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Федеральное государственное бюджетное учреждение «Национальный медицинский исследовательский центр онкологии им. Н.Н. Блохина» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Blokhin National Medical Research Center of Oncology</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>06</day><month>07</month><year>2026</year></pub-date><volume>4</volume><issue>1</issue><elocation-id>54–62</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Ковалева О.В., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Ковалева О.В.</copyright-holder><copyright-holder xml:lang="en">Kovaleva O.V.</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.rehabilitology.com/jour/article/view/152">https://www.rehabilitology.com/jour/article/view/152</self-uri><abstract><p>Во всем мире заболеваемость злокачественными новообразованиями неуклонно растет и остается одной из наиболее значимых медицинских проблем. В то же время совершенствование методов ранней диагностики и лечения приводит к увеличению числа пациентов, достигающих длительной или полной ремиссии. В связи с этим проблема медицинской реабилитации онкологических пациентов становится все более актуальной. Современное лечение злокачественных опухолей все чаще включает не только хирургическое вмешательство, но и системную лекарственную терапию, лучевую терапию, а также различные варианты их комбинированного применения. Несмотря на высокую эффективность данных методов, противоопухолевая терапия может сопровождаться развитием длительных функциональных нарушений. К наиболее частым осложнениям относятся снижение физической активности, хроническая усталость, когнитивные нарушения и другие состояния, которые влияют на качество жизни пациентов. В последние годы все больше исследований посвящено применению технологий искусственного интеллекта (ИИ) в медицине, включая реабилитацию. Использование алгоритмов машинного обучения, систем анализа биомедицинских данных, носимых устройств и цифровых платформ позволяет осуществлять мониторинг состояния пациентов и проводить индивидуализацию программ восстановления. Применение подобных технологий рассматривается как один из подходов к повышению эффективности реабилитации пациентов после противоопухолевого лечения. В обзоре рассматриваются направления применения технологий ИИ в реабилитации онкологических пациентов, включая цифровой мониторинг, телереабилитацию, системы анализа двигательной активности и когнитивную реабилитацию, а также обсуждаются перспективы дальнейшего развития данных технологий.</p></abstract><trans-abstract xml:lang="en"><p>Globally, malignant neoplasms remain one of the most significant medical and social issues due to their increasing incidence.</p><p>Meanwhile, advances in early diagnosis and treatment methods have resulted in higher rates of long-term or complete remission among patients. Thus, medical rehabilitation for cancer patients becomes an important and relevant concern. As part of the modern treatment of malignant tumors, surgical intervention is often accompanied by systemic drug therapy, radiation therapy, or a combination of these approaches. Despite their high efficacy, these methods may result in long-term functional impairments. The most common complications include reduced physical activity, chronic fatigue, cognitive impairment, and other conditions that decrease patients’ quality of life. Recent studies emphasize the application of artificial intelligence (AI) technologies in medicine, including rehabilitation. Machine learning algorithms, biomedical data analysis systems, wearable devices, and digital platforms make it possible to monitor patients' conditions, thus individualizing rehabilitation programs. These technologies are therefore considered a promising approach to improving the effectiveness of rehabilitation for patients after anticancer treatment. This review discusses current approaches to using AI technologies to rehabilitate cancer patients after treatment. Particularly, it covers digital monitoring, telerehabilitation, systems for analyzing motor activity, and cognitive rehabilitation. The review also outlines prospects for further developing these technologies.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>искусственный интеллект</kwd><kwd>онкологическая реабилитация</kwd><kwd>системная противоопухолевая терапия</kwd><kwd>цифровое здравоохранение</kwd><kwd>телереабилитация</kwd><kwd>носимые сенсорные устройства</kwd><kwd>качество жизни</kwd></kwd-group><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>cancer rehabilitation</kwd><kwd>systemic anticancer therapy</kwd><kwd>digital health</kwd><kwd>telerehabilitation</kwd><kwd>wearable devices</kwd><kwd>quality of life</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">Shuel S.L. Targeted cancer therapies: clinical pearls for primary care. Can Fam Physician. 2022; 68 (7): 515–8. https://doi.org/10.46747/cfp.6807515.</mixed-citation><mixed-citation xml:lang="en">Shuel S.L. 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