gnckКолопроктологияKoloproktologia2073-75562686-7303Russian Association of Coloproctology10.33878/2073-7556-2024-23-3-136-149gnck-1926Research ArticleОБЗОР ЛИТЕРАТУРЫREVIEWИскусственный интеллект в диагностике и лечении воспалительных заболеваний кишечника (обзор литературы)Artificial intelligence in the diagnostics and treatment of inflammatory bowel diseases (review)https://orcid.org/0000-0002-2859-4942ФильТ. С.Fil’T. S.

Татьяна Сергеевна Филь, к. м. н., заведующий отделением, ассистент

отделение гастроэнтерологии; кафедра пропедевтики внутренних болезней, гастроэнтерологии и диетологии им С.М. Рысса

195067; Пискаревский пр., д. 47; Санкт-Петербург

тел.: +7 (812) 303-50-00

Tatiana S. Fil’

195067; Piskarevsky ave., 47; St. Petersburg

tel.: +7 (812) 303-50-00

fts-88@mail.ruhttps://orcid.org/0000-0002-6151-2021БакулинИ. Г.BakulinI. G.

Игорь Геннадьевич Бакулин, д. м. н., профессор, заведующий кафедрой

кафедра пропедевтики внутренних болезней, гастроэнтерологии и диетологии им С.М. Рысса

195067; Пискаревский пр., д. 47; Санкт-Петербург

Igor G. Bakulin

195067; Piskarevsky ave., 47; St. Petersburg

Igor.Bakulin@szgmu.ruФГБОУ ВО СЗГМУ им И.И. Мечникова Минздрава РоссииРоссияMechnikov North-Western State Medical University, Russian Ministry of HealthRussian Federation202421092024233136149Copyright © Филь Т.С., Бакулин И.Г., 20242024Филь Т.С., Бакулин И.Г.Fil’ T.S., Bakulin I.G.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.ruproctology.com/jour/article/view/1926

   В настоящее время ученые из разных стран изучают возможности применения методов машинного обучения для повышения точности эндоскопической и лучевой диагностики у пациентов с воспалительными заболеваниями кишечника (ВЗК) как для уменьшения временных затрат врачей на описание результатов исследований, так и для уменьшения сроков верификации диагноза. Прогнозирование течения ВЗК на основе искусственного интеллекта (ИИ) с созданием прогностических сценариев (моделей) — еще одно перспективное направление в гастроэнтерологии. В данном обзоре проанализированы основные направления научных проектов по внедрению ИИ и методов машинного обучения в диагностику и прогнозирование течения ВЗК. Особое внимание в статье уделяется проблемам, с которыми сталкиваются специалисты при применении методов ИИ, способам их решения, а также перспективам использования ИИ у пациентов с ВЗК. Представлены возможности применения ИИ для скрининга колоректального рака, анализа медицинских карт.

   Currently scientists from different countries are exploring the possibilities of using machine learning methods to improve the accuracy of endoscopic and radiation diagnostics in patients with inflammatory bowel diseases (IBD) both to reduce the time spent by doctors on describing the results and to reduce the time needed to verify the diagnosis. Predicting the course of IBD based on artificial intelligence (AI) with the creation of predictive scenarios (models) is another promising area in gastroenterology. This review analyzes the main directions of scientific projects on the introduction of AI and machine learning methods in the diagnosis and prediction of the course of IBD. The article pays special attention to the problems faced by specialists in the application of AI methods, ways to solve them, as well as the prospects for using AI in patients with IBD. The possibilities of using AI for colorectal cancer screening and analysis of medical records are presented.

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