Russian MedicineRussian MedicineРоссийский медицинский журнал0869-21062412-9100Eco-Vector67870410.17816/medjrf678704IDNDRIReviewsНаучные обзорыReview ArticleDigital technologies and artificial intelligence for cognitive impairment correction in coronary heart disease depending on the presence of anemia: a reviewПрактики применения искусственного интеллекта для коррекции когнитивных нарушений при ишемической болезни сердца в зависимости от наличия анемического синдрома: литературный обзорhttps://orcid.org/0000-0003-3172-08044982-7861KalyutaTatyana Yu.КалютаТатьяна Юрьевна
Russian Federation

MD, Cand. Sci. (Medicine), Associate Professor

канд. мед. наук, доцент

tatianakaluta@yandex.ruhttps://orcid.org/0000-0002-5005-10981051-9680PoroshinaAngelina M.ПорошинаАнгелина Михайловна
Russian Federation
poroshina.lina@mail.ruhttps://orcid.org/0000-0003-0344-44192248-5246FedonnikovAlexander S.ФедонниковАлександр Сергеевич
Russian Federation
fedonnikov@mail.ruSaratov State Medical University named after V.I. RazumovskyСаратовский государственный медицинский университет имени В.И. Разумовского07122025311220253165465561804202530062025Copyright ©; 2025, Eco-VectorCopyright ©; 2025, Эко-Вектор2025Eco-VectorЭко-Векторhttps://eco-vector.com/for_authors.php#07https://medjrf.com/0869-2106/article/view/678704

The development of artificial intelligence–based systems and their implementation in healthcare is a promising direction in contemporary cardiology. It would enable personalized approaches to diagnostics, cognitive enhancement, and prediction of cognitive training outcomes in coronary heart disease—particularly in the presence of anemia. This review analyzes studies addressing adherence to treatment recommendations among cardiology patients, improvement of well-being, reduction of mortality and disability, prolongation of working age, optimization of workload for healthcare professionals, and the transition toward digital medicine using digital cognitive training platforms incorporating artificial intelligence.

Implementation of artificial intelligence systems has the potential to improve treatment outcomes in patients with coronary heart disease and anemia, promote more efficient use of healthcare resources, and contribute to the development of personalized medicine in Russia. Further research will focus on evaluating system effectiveness and expanding its functionality through data integration and monitoring of patients’ physical activity.

Разработка систем искусственного интеллекта и их внедрение в сферу здравоохранения для создания персонализированных подходов к диагностике, улучшения когнитивных функций и прогнозирования результатов когнитивных тренингов при ишемической болезни сердца, особенно при наличии анемии, является многообещающим направлением в современной кардиологии. Данный обзор посвящён анализу исследований, касающихся вопросов соблюдения пациентами кардиологического профиля рекомендаций по лечению, улучшения их самочувствия, уменьшения смертности и инвалидности, увеличения продолжительности трудоспособного возраста, оптимизации нагрузки на медицинских работников и перехода к цифровой медицине с применением цифровых платформ когнитивных тренингов с элементами искусственного интеллекта.

Внедрение системы искусственного интеллекта позволит улучшить исходы лечения пациентов с ишемической болезнью сердца и анемическим синдромом, повысить эффективность использования ресурсов здравоохранения и внести вклад в развитие персонализированной медицины в России. Дальнейшие исследования будут направлены на оценку эффективности внедрения системы и расширение её функциональности за счёт интеграции данных и мониторинга физической активности пациентов.

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