rentradВестник рентгенологии и радиологииJournal of radiology and nuclear medicine0042-46762619-0478Limited Liability Company "LUCHEVAYA DIAGNOSTIKA", Russian Association of Radiologists10.20862/0042-4676-2024-105-6-325-334rentrad-939Research ArticleОБЗОРЫREVIEWSСовременное клиническое применение искусственного интеллекта в медицинской визуализацииCurrent Clinical Application of Artificial Intelligence in Medical Imaginghttps://orcid.org/0000-0001-5994-0468НудновН. В.NudnovN. V.

Нуднов Николай Василевич, д. м. н., профессор, зам. директора по научной работе, заведующий научно-исследовательским отделом комплексной диагностики заболеваний и радиотерапии; профессор кафедры рентгенологии и радиологии; зам. директора по научной работе, профессор кафедры онкологии и рентгенорадиологии

ул. Профсоюзная, 86, Москва, 117997

ул. Баррикадная, 2/1, стр.1, Москва, 125993

ул. Миклухо-Маклая, 6, Москва, 117198

Nikolay V. Nudnov, Dr. Med. Sc., Professor, Deputy Director for Scientific Work, Head of Research Department of Complex Diagnostics of Diseases and Radiotherapy; Professor, Chair of Radiology and and Nuclear Medicine; Deputy Director for Scientific Work, Professor, Chair of Oncology and Roentgenology

ul. Profsoyuznaya, 86, Moscow, 117997

ul. Barrikadnaya, 2/1, str.1, Moscow, 125993

ul. Miklukho-Maklaya, 6, Moscow, 117198

mailbox@rncrr.rssi.ruhttps://orcid.org/0000-0003-1106-6358ПаньшинГ. А.Pan’shinG. А.

Паньшин Георгий Александрович, д. м. н., профессор, гл. науч. сотр. лаборатории лучевой терапии и комплексных методов лечения онкологических заболеваний научно-исследовательского отдела комплексной диагностики заболеваний и радиотерапии

ул. Профсоюзная, 86, Москва, 117997

Georgiy А. Pan’shin, Dr. Med. Sc., Professor, Senior Resеаrcher, Laboratory of Radiation Therapy and Complex Methods of Cancer Treatment, Research Department of Complex Diagnostics of Diseases and Radiotherapy

ul. Profsoyuznaya, 86, Moscow, 117997

ФГБУ «Российский научный центр рентгенорадиологии» Минздрава России; ФГБОУ ДПО «Российская медицинская академия непрерывного профессионального образования» Минздрава России; ФГАОУ ВО «Российский университет дружбы народов им. Патриса Лумумбы»РоссияRussian Scientific Center of Roentgenoradiology; Russian Medical Academy of Continuing Professional Education; Peoples' Friendship University of Russia named after Patrice LumumbaRussian FederationФГБУ «Российский научный центр рентгенорадиологии» Минздрава РоссииРоссияRussian Scientific Center of RoentgenoradiologyRussian Federation2024250720251056325334Copyright © Нуднов Н.В., Паньшин Г.А., 20252025Нуднов Н.В., Паньшин Г.А.Nudnov N.V., Pan’shin G.А.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.russianradiology.ru/jour/article/view/939

В настоящее время искусственный интеллект (ИИ) весьма эффективно развивается, а его приложения ценны во многих областях науки, в том числе и медицинской, – главным образом из-за его способности обеспечить точность, объективность и автоматизацию. Стремительное развитие диагностических технологий предоставляет возможность внедрять в современную медицину инновационные решения с применением ИИ, позволяющего разгрузить медицинских работников за счет ускорения процесса диагностики и в то же время повысить его качество, а также эффективность последующего специального лечения. В обзоре кратко представлены текущее состояние знаний и ряд существующих моделей ИИ, используемых в повседневной практике в сфере медицинской визуализации. Показано, что ИИ обладает огромным потенциалом для преобразования рентгенодиагностики и других областей медицины, особенно при анализе медицинских изображений. Несмотря на трудности, связанные с внедрением ИИ в практическую деятельность, такие как необходимость надлежащего обучения персонала и этические проблемы, преимущества его применения весьма значительны. ИИ может помочь повысить точность диагностики, ускорить сам процесс диагностирования и сократить расходы на медицинское обслуживание. Дальнейшее развитие технологий ИИ в сочетании с постоянным сотрудничеством между российскими разработчиками ИИ и медицинскими работниками будет способствовать еще большим достижениям в области здравоохранения, которые принесут несомненную пользу как пациентам, так и персоналу лечебных учреждений.

Artificial intelligence (AI) is currently developing very efficiently, and its applications are valuable in many fields of science, including medicine, mainly because of its ability to ensure accuracy, objectivity and automation, in particular, in the diagnostic process. Rapid development of diagnostic technologies provides an opportunity to introduce innovative solutions into modern medicine through the use of AI, which makes it possible to relieve medical workers by speeding up the diagnostic process and improving its quality as well as effectiveness of subsequent special treatment based on its results. This review briefly presents the current state of knowledge and a number of existing AI models applied in everyday practice in medical imaging. AI has great potential to transform X-ray diagnostics and other areas of medicine, especially in the analysis of medical images. Despite the difficulties associated with AI implementation in practice, such as the need for proper staff training and ethical issues, the advantages of its application are very significant. AI can help improve diagnostic accuracy, speed up the diagnostic process itself, and reduce medical costs. Further development of AI technologies combined with the constant cooperation between Russian AI developers and medical professionals will contribute to even greater advances in healthcare, which will undoubtedly benefit both patients and staff of medical institutions.

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The authors declare that there are no conflicts of interest present.