ldtЛучевая диагностика и терапияDiagnostic radiology and radiotherapy2079-5343Baltic Medical Education Center10.22328/2079-5343-2025-16-3-17-26ldt-1141Research ArticleОБЗОРЫ И ЛЕКЦИИREVIEWS AND LECTURESСовременные тенденции и инновации в скрининге рака молочной железы: от маммографии до ИИ: обзорModern trends and innovations in breast cancer screening: from mammography to AI: a reviewhttps://orcid.org/0009-0002-2623-422XЖумагуловаС. П.ZhumagulovaS. P.

Жумагулова Салтанат Пернебаевна — резидент-радиолог, 

г. Караганда, ул. Гоголя, д. 40

Saltanat P. Zhumagulova - Radiology Resident,

40 Gogol Street, Karaganda

https://orcid.org/0009-0003-1020-0241ДаулетбекФ. Б.DauletbekF. B.

Даулетбек Фатима Бақытбекқызы  - резидент-радиолог,

г. Караганда, ул. Гоголя, д. 40

Fatima B. Dauletbek - Radiology Resident,

40 Gogol Street, Karaganda

https://orcid.org/0009-0005-5632-6020КелдиевА. М.KeldiyevA. M.

Келдиев Асқат Мақсатұлы  - резидент-радиолог,

г. Караганда, ул. Гоголя, д. 40

Askat M. Keldiyev - Radiology Resident,

40 Gogol Street, Karaganda

Медицинский университет КарагандыКазахстанKaraganda Medical UniversityKazakhstan2025121120251631726Copyright © Жумагулова С.П., Даулетбек Ф.Б., Келдиев А.М., 20252025Жумагулова С.П., Даулетбек Ф.Б., Келдиев А.М.Zhumagulova S.P., Dauletbek F.B., Keldiyev A.M.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://radiag.bmoc-spb.ru/jour/article/view/1141Введение

Введение: Скрининг рака молочной железы сыграл ключевую роль в раннем выявлении заболевания и снижении смертности. Современные технологии заметно изменили методы скрининга, улучшая диагностические результаты и расширяя возможности исследований.

Цель

Цель: Обзор современных подходов к скринингу с акцентом на использование искусственного интеллекта (ИИ), который обещает улучшение диагностики и представляет новые вызовы в клинической практике.

Материалы и методы

Материалы и методы: Анализ охватывает многообразие научных публикаций и клинических данных, включая традиционные методы, такие как маммография, и новейшие разработки в ультразвуковом исследовании и магнитно-резонансной томографии, а также вклад ИИ.

Результаты

Результаты: Показано, что ИИ может значительно увеличить точность маммографий и других скрининговых методов, минимизируя ложноположительные результаты и повышая индивидуализацию процедур.

Обсуждение

Обсуждение: Подчеркнута роль ИИ в улучшении эффективности скринингов, хотя остаются вопросы, связанные с этикой и конфиденциальностью данных.

Заключение

Заключение: Внедрение ИИ в скрининг рака молочной железы открывает новые перспективы для диагностики и лечения, требуя дальнейших исследований и разработки регулятивных мер.

Introduction

Introduction: Breast cancer screening has played a key role in the early detection of the disease and reduction of mortality rates. Modern technologies have significantly changed screening methods, enhancing diagnostic outcomes and expanding research capabilities.

Objective

Objective: Тo review contemporary approaches to screening, with a focus on the use of artificial intelligence (AI), which promises improved diagnostics and presents new challenges in clinical practice.

Materials and Methods

Materials and Methods: The analysis covers a variety of scientific publications and clinical data, including traditional methods such as mammography, and the latest developments in ultrasound and magnetic resonance imaging, as well as the contribution of AI.

Results

Results: AI can significantly increase the accuracy of mammographies and other screening methods, minimizing false positives and enhancing the customization of procedures.

Discussion

Discussion: The discussion emphasizes the role of AI in improving screening efficiency, although there are still questions related to ethics and data confidentiality.

Conclusion

Conclusion: The implementation of AI in breast cancer screening opens new prospects for diagnosis and treatment, requiring further research and development of regulatory measures.

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