gastro-jРоссийский журнал гастроэнтерологии, гепатологии, колопроктологииRussian Journal of Gastroenterology, Hepatology, Coloproctology1382-43762658-6673«Gastro» LLC10.22416/1382-4376-2025-35-6-27-34gastro-j-1670Research ArticleОБЗОРЫREVIEWSИскусственный интеллект для ультразвуковой диагностики заболеваний кишечника: современные возможностиArtificial Intelligence in Ultrasound Diagnosis of Bowel Diseases: Modern Possibilitieshttps://orcid.org/0000-0003-2102-0142МухаметоваД. Д.MukhametovaD. D.

Мухаметова Диляра Дамировна — кандидат медицинских наук, доцент кафедры госпитальной терапии

420012, г. Казань, ул. Бутлерова, 49 

Dilyara D. Mukhametova — Cand. Sci. (Med.), Associate Professor of the Department of Hospital Therapy

420012, Kazan, Butlerova str., 49 

muhdilyara@gmail.comhttps://orcid.org/0009-0009-5739-7807АкчуринаО. Э.AkchurinaO. E.

Табакчи Ольга Эриковна — аспирант кафедры госпитальной терапии

420012, г. Казань, ул. Бутлерова, 49 

Olga E. Tabakchi — Postgraduate of the Department of Hospital Therapy

420012, Kazan, Butlerova str., 49 

olya-akchurina@mail.ruhttps://orcid.org/0000-0001-7069-2725АбдулганиеваД. И.AbdulganievaD. I.

Абдулганиева Диана Ильдаровна — доктор медицинских наук, профессор, заведующая кафедрой госпитальной терапии

420012, г. Казань, ул. Бутлерова, 49 

Diana I. Abdulganieva — Dr. Sci. (Med.), Professor, Head of the Department of Hospital Therapy

420012, Kazan, Butlerova str., 49 

diana.abdulganieva@kazangmu.ruФГБОУ ВО «Казанский государственный медицинский университет» Министерства здравоохранения Российской ФедерацииРоссияKazan State Medical UniversityRussian Federation2025230220263562734Copyright © Мухаметова Д.Д., Акчурина О.Э., Абдулганиева Д.И., 20262026Мухаметова Д.Д., Акчурина О.Э., Абдулганиева Д.И.Mukhametova D.D., Akchurina O.E., Abdulganieva D.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.gastro-j.ru/jour/article/view/1670Цель

Цель. Обзор современных достижений, возможностей и проблем применения технологий искусственного интеллекта (ИИ) для анализа изображений ультразвукового исследования (УЗИ) кишечника.

Основные положения

Основные положения. Ультразвуковое исследование является высокоинформативным, безопасным и широкодоступным методом диагностики патологии кишечника. Внедрение ИИ, в частности методов глубокого обучения и радиомики, направлено на преодоление оператор-зависимости УЗИ, стандартизацию диагностики и повышение ее эффективности. В статье представлены данные о разработке и валидации ИИалгоритмов для ключевых направлений: воспалительные заболевания кишечника, острый аппендицит, инвагинация кишечника, колоректальный рак. Представлены ограничения и опасения, которые требуют решения для внедрения ИИ в клиническую практику.

Заключение

Заключение. Интеграция ИИ в ультразвуковую диагностику заболеваний кишечника обладает значительным потенциалом для повышения точности, воспроизводимости и эффективности работы, особенно в условиях высокой нагрузки на специалистов.

Aim

Aim. Review of current achievements, opportunities and challenges in applying artificial intelligence (AI) for analyzing intestinal ultrasound images.

Key points

Key points. Ultrasound examination is a highly informative, safe, and widely accessible method for bowel pathology diagnosis. The integration of AI, particularly deep learning and radiomics methods, aims to overcome the operator-dependence of ultrasound, standardize diagnosis, and enhance its efficiency. This article reviews the development and validation of AI algorithms for key areas: inflammatory bowel diseases, acute appendicitis, bowel intussusception and colorectal cancer. Limitations and concerns that require resolution for the successful integration of AI into clinical practice are also discussed.

Conclusion

Conclusion. The integration of AI into ultrasound diagnosis of bowel diseases has significant potency for improving accuracy, reproducibility, and operational efficiency.

воспалительные заболевания кишечникаболезнь Кронаязвенный колитискусственный интеллектУЗИ кишечникаinflammatory bowel diseaseCrohn's diseaseulcerative colitisartificial intelligenceintestinal ultrasoundработа выполнена за счет гранта Академии наук Республики Татарстан, предоставленного молодым кандидатам наук (постдокторантам) с целью защиты докторской диссертации, выполнения научно-исследовательских работ, а также выполнения трудовых функций в научных и образовательных организациях Республики Татарстан «Научно-техническое развитие Республики Татарстан».the work was carried out with financial support from the grant of the Academy of Sciences of the Republic of Tatarstan, provided to young candidates of science (postdoctoral students) for the purpose of defending a doctoral dissertation, carrying out research work, and also performing work functions in scientific and educational organizations of the Republic of Tatarstan “Scientific and Technical Development of the Republic of Tatarstan”.ReferencesОтчет за 2020 г. главного внештатного специалиста Минздрава России по лучевой и инструментальной диагностике Тюрина И.Е. 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The authors declare that there are no conflicts of interest present.