medvisМедицинская визуализацияMedical Visualization1607-07632408-9516RDS-Media Ltd.10.24835/1607-0763-1500medvis-1500Research ArticleТЕХНОЛОГИИ ЛУЧЕВОЙ ДИАГНОСТИКИRADIOLOGICAL TECHNOLOGIESМедицинская визуализация и искусственный интеллект при радиотерапии злокачественных опухолейMedical imaging and artificial intelligence in radiotherapy of malignant tumorshttps://orcid.org/0000-0003-1106-6358ПаньшинГ. А.PanshinG. A.

Паньшин Георгий Александрович – доктор мед. наук, профессор, главный научный сотрудник лаборатории лучевой терапии и комплексных методов лечения онкологических заболеваний ФГБУ “Российский научный центр рентгенорадиологии” Минздрава России, Москва.https://orcid.org/0000-0003-1106-6358E-mail: g.a.panshin@mail.ru

Georgy A. Panshin – Doct. of Sci. (Med.), Professor, Chief Researcher of the Laboratory of Radiation Therapy and Integrated Methods of Treatment of Cancer Diseases, Research Department of Integrated Disease Diagnostics and Radiotherapy, Russian Scientific Center of Roentgenoradiology.https://orcid.org/0000-0003-1106-6358E-mail: g.a.panshin@mail.ru

g.a.panshin@mail.ruhttps://orcid.org/0000-0001-5994-0468НудновН. В.NudnovN. V.

Нуднов Николай Васильевич – доктор мед. наук, профессор, заместитель директора по научной работе, заведующий научно-исследовательским отделом комплексной диагностики заболеваний и радиотерапии ФГБУ “Российский научный центр рентгенорадиологии” Минздрава России; профессор кафедры рентгенологии и радиологии ФГБОУ ДПО “Российская медицинская академия непрерывного профессионального образования” Минздрава России;заместитель директора по научной работе, профессор кафедры онкологии и рентгенорадиологии ФГАОУ ВО “Российский университет дружбы народов имени Патриса Лумумбы” Минобрнауки России, Москва.https://orcid.org/0000-0001-5994-0468E-mail: mailbox@rncrr.rssi.ru

Nikolay V. Nudnov – Doct. of Sci. (Med.), Professor, Deputy Director for Scientific Work, Head of the Research Department for Complex Diagnostics of Diseases and Radiotherapy, Russian Scientific Center of Roentgenoradiology of the Ministry of Healthcare of the Russian Federation;Professor, Department of Roentgenoradiology and Radiology, Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of the Russian Federation;Professor, Department of Oncology and Radiology, Peoples' Friendship University of Russia named after Patrice Lumumba of the Ministry of Science and Higher Education of the Russian Federation, Moscow.https://orcid.org/0000-0001-5994-0468E-mail: mailbox@rncrr.rssi.ru 

nudnov@rncrr.ruФГБУ “Российский научный центр рентгенорадиологии” Минздрава РоссииРоссияRussian Scientific Center of Roentgenoradiology of the Ministry of Healthcare of the Russian FederationRussian FederationФГБУ “Российский научный центр рентгенорадиологии” Минздрава России; ФГБОУ ДПО “Российская медицинская академия непрерывного профессионального образования” Минздрава России; ФГАОУ ВО “Российский университет дружбы народов имени Патриса Лумумбы” Минобрнауки РоссииРоссияRussian Scientific Center of Roentgenoradiology of the Ministry of Healthcare of the Russian Federation; Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of the Russian Federation; Peoples' Friendship University of Russia named after Patrice LumumbaRussian Federation202530042025292116126Copyright © Паньшин Г.А., Нуднов Н.В., 20252025Паньшин Г.А., Нуднов Н.В.Panshin G.A., Nudnov N.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://medvis.rdsmedia.ru/jour/article/view/1500

Слияние искусственного интеллекта с медицинской визуализацией является, несомненно, прогрессивным новаторским процессом в современном развитии отечественного здравоохранении, позволяющим обеспечивать беспрецедентную точность и эффективность при диагностике и планировании специального лечения различных заболеваний, в том числе и злокачественных опухолей.

При этом подходы искусственного интеллекта, особенно в области клинического применения радиотерапевтических методик, распространяются все шире и переходят из сферы специализированных исследований в сферу уже принятой традиционной клинической практики.

Цель исследования

Цель исследования: проанализировать подходы искусственного интеллекта в области клинического применения радиотерапевтических методик противоопухолевого лечения злокачественных опухолей.

Заключение

Заключение. Дальнейшее развитие искусственного интеллекта предусматривает обеспечение вариантов профилактики, диагностики и лечения онкологических больных на фоне постоянного повышения точности в их реализации, в том числе и содействие в оптимизации радиотерапевтического лечения злокачественных новообразований.

The fusion of artificial intelligence with medical imaging is undoubtedly a progressive innovative process in the modern development of domestic healthcare, which allows for unprecedented accuracy and efficiency in the diagnosis and planning of special treatment of various diseases, including malignant tumors. At the same time, artificial intelligence approaches, especially in the field of clinical application of radiotherapy techniques, are spreading more widely and moving from the field of specialized research to the field of already accepted traditional clinical practice.

Purpose of the study

Purpose of the study: to analyze the approaches of artificial intelligence in the field of clinical application of radiotherapy techniques for the antitumor treatment of malignant tumors.

Conclusion

Conclusion. The further development of artificial intelligence provides for the provision of options for the prevention, diagnosis and treatment of cancer patients against the background of a constant increase in accuracy in their implementation, including assistance in optimizing radiotherapeutic treatment of malignant neoplasms.

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