akusherstvoObstetrics, Gynecology and ReproductionАкушерство, Гинекология и Репродукция2313-73472500-3194IRBIS LLC10.17749/2313-7347/ob.gyn.rep.2025.591akusherstvo-2359Research ArticleREVIEW ARTICLESНАУЧНЫЕ ОБЗОРЫOpportunities and limitations of introducing artificial intelligence technologies into reproductive medicineВозможности и ограничения внедрения технологий искусственного интеллекта в репродуктивную медицинуhttps://orcid.org/0009-0002-7725-4095ЛебинаВ. А.LebinaV. A.

Лебина Валерия Алексеевна 

394036 Воронеж, Студенческая ул., д. 10

Valeriya A. Lebina

10 Studentskaya Str., Voronezh 394036

lera.lebina.00@mail.ruhttps://orcid.org/0009-0005-6170-8824ШихалаховаО. Х.ShikhalakhovaO. Kh.

Шихалахова Оксана Хазреталиевна

362019 Республика Северная Осетия–Алания, Владикавказ, ул. Пушкинская, д. 40

Oksana Kh. Shikhalakhova

40 Pushkinskaya Str., Vladikavkaz, Republic of North Ossetia-Alania 362019

https://orcid.org/0009-0009-5764-7888КоханА. А.KokhanA. A.

Кохан Анна Александовна

117513 Москва, ул. Островитянова, д. 1

Anna A. Kokhan

1 Ostrovityanova Str., Moscow 117513

https://orcid.org/0009-0002-1525-4110РашидовИ. Ю.RashidovI. Yu.

Рашидов Ислам Юнусович

127006 Москва, Долгоруковская ул., д. 4 

Islam Yu. Rashidov

4 Dolgorukovskaya Str., Moscow 127006

https://orcid.org/0009-0004-2068-8903ТажевК. А.TazhevK. A.

Тажев Кантемир Арсенович

127006 Москва, Долгоруковская ул., д. 4 

Kantemir A. Tazhev

4 Dolgorukovskaya Str., Moscow 127006

https://orcid.org/0009-0007-2274-8270ФилипповаА. В.FilippovaA. V.

Филиппова Александра Владиславовна

117513 Москва, ул. Островитянова, д. 1

Aleksandra V. Filippova

1 Ostrovityanova Str., Moscow 117513

https://orcid.org/0009-0001-6781-1866МышинскаяЕ. П.MyshinskayaE. P.

Мышинская Елизавета Павловна

117513 Москва, ул. Островитянова, д. 1

Elizaveta P. Myshinskaya

1 Ostrovityanova Str., Moscow 117513

https://orcid.org/0009-0007-5949-7380СымолкинаЮ. В.SymolkinaYu. V.

Сымолкина Юлия Владимировна

117513 Москва, ул. Островитянова, д. 1

Yulia V. Symolkina

1 Ostrovityanova Str., Moscow 117513

https://orcid.org/0009-0002-8992-595XИбуевЮ. И.IbuevYu. I.

Ибуев Юнус Имранович

127006 Москва, Долгоруковская ул., д. 4 

Yunus I. Ibuev

4 Dolgorukovskaya Str., Moscow 127006

https://orcid.org/0009-0008-3888-6317МатаеваА. А.MataevaA. A.

Матаева Айна Аптиевна

127006 Москва, Долгоруковская ул., д. 4 

Aina A. Mataeva

4 Dolgorukovskaya Str., Moscow 127006

https://orcid.org/0009-0008-7134-2418СиротенкоА. Н.SirotenkoA. N.

Сиротенко Анастасия Николаевна

127006 Москва, Долгоруковская ул., д. 4 

Anastasiya N. Sirotenko

4 Dolgorukovskaya Str., Moscow 127006

https://orcid.org/0009-0001-7276-6852ГабараеваТ. Т.GabaraevaT. T.

Габараева Тамара Тамазовна

117513 Москва, ул. Островитянова, д. 1

Tamara T. Gabaraeva

1 Ostrovityanova Str., Moscow 117513

https://orcid.org/0009-0001-0951-2155АскероваА. И.AskerovaA. I.

Аскерова Амина Имрановна

127006 Москва, Долгоруковская ул., д. 4 

Amina I. Askerova

4 Dolgorukovskaya Str., Moscow 127006

ФГБОУ ВО «Воронежский государственный медицинский университет имени Н.Н. Бурденко» Министерства здравоохранения Российской ФедерацииРоссияBurdenko Voronezh State Medical University, Ministry of Health of the Russian FederationRussian FederationФГБОУ ВО «Северо-Осетинская государственная медицинская академия» Министерства здравоохранения Российской ФедерацииРоссияNorth Ossetian State Medical Academy, Ministry of Health of the Russian FederationRussian FederationФГАОУ ВО «Российский национальный исследовательный медицинский университет имени Н.И. Пирогова» Министерства здравоохранения Российской ФедерацииРоссияPirogov Russian National Research Medical University, Ministry of Health of the Russian FederationRussian FederationФГБОУ ВО «Российский университет медицины» Министерства здравоохранения Российской ФедерацииРоссияRussian University of Medicine, Ministry of Health of the Russian FederationRussian Federation202506072025193423442Copyright © Lebina V.A., Shikhalakhova O.K., Kokhan A.A., Rashidov I.Y., Tazhev K.A., Filippova A.V., Myshinskaya E.P., Symolkina Y.V., Ibuev Y.I., Mataeva A.A., Sirotenko A.N., Gabaraeva T.T., Askerova A.I., 20252025Лебина В.А., Шихалахова О.Х., Кохан А.А., Рашидов И.Ю., Тажев К.А., Филиппова А.В., Мышинская Е.П., Сымолкина Ю.В., Ибуев Ю.И., Матаева А.А., Сиротенко А.Н., Габараева Т.Т., Аскерова А.И.Lebina V.A., Shikhalakhova O.K., Kokhan A.A., Rashidov I.Y., Tazhev K.A., Filippova A.V., Myshinskaya E.P., Symolkina Y.V., Ibuev Y.I., Mataeva A.A., Sirotenko A.N., Gabaraeva T.T., Askerova A.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.gynecology.su/jour/article/view/2359

Given the increasing problem of infertility in the Russian Federation, assisted reproductive technologies (ART) have proven to be one of the most effective treatments for this condition. Notably, the introduction of ART methods, particularly in vitro fertilization (IVF), has led to markedly increased birth rates over the past two decades. Studies show that machine learning algorithms can process images of embryos to assess their quality, thus facilitating the selection of the most viable among them for transfer. There are ethical and technical barriers hindering the widespread adoption of artificial intelligence (AI) in clinical practice, including concerns over data privacy as well as a need to train specialists to deal with new technologies. AI can analyze vast amounts of data, including medical histories and research results, to more accurately predict pregnancy outcomes. This enables doctors to make more justified clinical decisions. In the future, AI algorithms will be able to analyze patient data more efficiently, helping to identify the causes of infertility at earlier stages.

В условиях возрастающей проблемы бесплодия в Российской Федерации вспомогательные репродуктивные технологии (ВРТ) зарекомендовали себя как один из самых эффективных способов лечения данного заболевания. Примечательно, что внедрение методов ВРТ, в частности экстракорпорального оплодотворения (ЭКО), подтолкнуло к значительному увеличению рождаемости за последние 2 десятилетия. Исследования показывают, что алгоритмы машинного обучения могут обрабатывать изображения эмбрионов для оценки их качества, что способствует выбору наиболее жизнеспособных вариантов для переноса. Существуют этические и технические препятствия, мешающие широкому внедрению искусственного интеллекта (ИИ) в клиническую практику, включая вопросы конфиденциальности данных и необходимости подготовки специалистов для работы с новыми технологиями. ИИ способен анализировать обширные наборы данных, включая медицинские истории болезней и результаты исследований, для более точного прогнозирования исходов беременности. Это позволяет врачам принимать более обоснованные клинические решения. В будущем алгоритмы ИИ смогут анализировать данные пациентов более эффективно, помогая выявлять причины бесплодия на ранних стадиях.

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