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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">rentrad</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник рентгенологии и радиологии</journal-title><trans-title-group xml:lang="en"><trans-title>Journal of radiology and nuclear medicine</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0042-4676</issn><issn pub-type="epub">2619-0478</issn><publisher><publisher-name>Limited Liability Company "LUCHEVAYA DIAGNOSTIKA", Russian Association of Radiologists</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.20862/0042-4676-2024-105-5-282-286</article-id><article-id custom-type="elpub" pub-id-type="custom">rentrad-899</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>ОБЗОРЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEWS</subject></subj-group></article-categories><title-group><article-title>Перспективы применения искусственного интеллекта в маммографии</article-title><trans-title-group xml:lang="en"><trans-title>Prospects for the Application of Artificial Intelligence in Mammography</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0009-5294-690X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Саибу</surname><given-names>С. Ф.</given-names></name><name name-style="western" xml:lang="en"><surname>Saibu</surname><given-names>Siuzanna F.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Саибу Сюзанна Фадельевна, студентка 6-го курса лечебного факультета,</p><p>ул. Островитянова, 1, Москва, 117513.</p></bio><bio xml:lang="en"><p>Siuzanna F. Saibu, 6th Year Student, Faculty of Medicine,</p><p>1, Ostrovityanova, Moscow, 117513.</p></bio><email xlink:type="simple">saibu2012@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГАОУ ВО «Российский национальный исследовательский медицинский университет им. Н.И. Пирогова» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Pirogov Russian National Research Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>21</day><month>02</month><year>2025</year></pub-date><volume>105</volume><issue>5</issue><fpage>282</fpage><lpage>286</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Саибу С.Ф., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Саибу С.Ф.</copyright-holder><copyright-holder xml:lang="en">Saibu S.F.</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.russianradiology.ru/jour/article/view/899">https://www.russianradiology.ru/jour/article/view/899</self-uri><abstract><p>Сегодня в мире растет интерес к интерпретации рентгенологических, в частности маммографических, данных с применением искусственного интеллекта (ИИ). В представленном обзоре научной литературы, основанном на самых значимых исследованиях последних лет, сделана попытка определить место ИИ в рентгенологической диагностике рака молочной железы (РМЖ). Показано, что в перспективе ИИ может стать неотъемлемой частью маммографического скрининга РМЖ, хотя на данный момент этические и правовые вопросы его использования не до конца решены.</p></abstract><trans-abstract xml:lang="en"><p>Today in the world there is a growing interest in the interpretation of radiologic, in particular mammographic, data using artificial intelligence (AI). In the presented review of scientific literature, based on the most significant studies of recent years an attempt was made to determine the place of AI in radiologic diagnosis of breast cancer. It is shown that in the future, AI can become an integral part of breast cancer mammographic screening, although at the moment the ethical and legal issues of its use have not been fully resolved.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>маммография</kwd><kwd>искусственный интеллект</kwd><kwd>рак молочной железы</kwd><kwd>обзор</kwd></kwd-group><kwd-group xml:lang="en"><kwd>mammography</kwd><kwd>artificial intelligence</kwd><kwd>breast cancer</kwd><kwd>review</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">Tabár L, Vitak B, Chen HH, et al. Beyond randomized controlled trials: organized mammographic screening substantially reduces breast carcinoma mortality. Cancer. 2001; 91(9): 1724–31. https://doi.org/10.1002/1097-0142(20010501)91:9&lt;1724::aid-cncr1190&gt;3.0.co;2-v.</mixed-citation><mixed-citation xml:lang="en">Tabár L, Vitak B, Chen HH, et al. 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