Искусственные интеллектуальные системы в развитии вспомогательных репродуктивных технологий

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В условиях быстрого развития компьютерных технологий непрерывно расширяется область применения систем искусственного интеллекта (ИИ). В течение последних десятилетий программы ИИ активно разрабатываются и интегрируются в различные сферы здравоохранения с увеличением числа и сложности решаемых ими задач. Благодаря возможности анализировать большой набор данных и высокой производительности применение ИИ является перспективным направлением в повышении точности и скорости диагностики, выборе тактики лечения и его объективизации, возможностей индивидуального прогнозирования. Программы вспомогательных репродуктивных технологий (ВРТ) представляют собой последовательность этапов, на эффективность каждого из которых оказывает влияние совокупность многих факторов. В связи с этим актуальным является применение систем ИИ в преодолении бесплодия, описанных для различных аспектов лечения, включая индивидуальный подбор схем стимуляции и мониторинга ответа яичников, отбор гамет, эмбрионов и их криоконсервацию, неинвазивную диагностику генетического статуса эмбриона, прогноз эффективности циклов ВРТ. Данный обзор литературы подготовлен на основании анализа публикаций баз данных PubMed, MedLine, eLibrary за период 1972—2022 гг. по ключевым словам Artificial Intelligence, Machine Learning в области репродуктивной медицины и эмбриологии и описывает основные методы ИИ, применяемые на всех этапах программ ВРТ.

ЗАКЛЮЧЕНИЕ

Технологии ИИ являются перспективным направлением повышения качества оказания медицинской помощи при бесплодии, перехода к персонифицированной медицине и повышению эффективности программ ВРТ. Разработка систем ИИ требует участия специалиста медицинского профиля в отборе и подготовке данных, определении задач алгоритма, его апробации и внедрения в клиническую практику. Необходимо отметить, что системы ИИ также могут применяться в области медицинских научных исследований. Однако до интеграции алгоритмов ИИ необходимы масштабные рандомизированные контролируемые испытания и их стандартизация, что сопряжено с решением ряда этических, законодательных и организационных вопросов.

Ключевые слова:

искусственный интеллект

машинное обучение

репродуктивная медицина

бесплодие

вспомогательные репродуктивные технологии

оценка ооцитов

оценка сперматозоидов

селекция эмбрионов

Авторы:

Беспалова О.Н.

ФГБНУ «Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта»

ORCID: 0000-0002-6542-5953

Коган И.Ю.

ФГБНУ «Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта»

ORCID: 0000-0002-7351-6900

Загайнова В.А.

ФГБНУ «Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта»

ORCID: 0000-0001-6971-7024

Шенгелия М.О.

ФГБНУ «Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта»

ORCID: 0000-0002-0103-8583

Жернакова Т.С.

ФГБНУ «Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта»

ORCID: 0000-0002-5131-4363

Пачулия О.В.

ФГБНУ «Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта»

ORCID: 0000-0003-4116-0222

Комарова Е.М.

ФГБНУ «Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта» Минобрнауки России

ORCID: 0000-0002-9988-9879

Лесик Е.А.

ORCID: 0000-0003-1611-6318

Тапильская Н.И.

ФГБНУ «Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта»

ORCID: 0000-0001-5309-0087

Дата поступления:

22.12.2023

Дата принятия в печать:

24.12.2023

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