Artificial intelligence in reproductive medicine; [Искусственный интеллект в репродуктивной медицине]

Currently, rapidly developing computer and digital technologies are widely included in various spheres of life. Their rapid development and widespread using have stimulated the development and improvement of artificial intelligence systems that allow solving various complex tasks, applying them in various fields, including scientific, technological, medical and others. The article discusses the terminology and principles of artificial intelligence systems, as well as modern opportunities and prospects for the use of technologies created on their basis, the directions of their application in reproductive medicine to solve various scientific problems and practical tasks. It can be used in the diagnosis and assessment of the risk of development of various diseases and complications, genetic testing and evaluation of its results, prediction of pregnancy and fertility assessment, analysis of germ cells, also as selection of the highest quality embryos in in vitro fertilization programs and in solving other tasks. © 2022 Ivanovo State University Publishing. All rights reserved.

Авторы
Zhukov O.B. , Chernykh V.B.
Издательство
Некоммерческое партнерство "Профессиональная Ассоциация Андрологов"
Номер выпуска
4
Язык
Русский
Страницы
15-25
Статус
Опубликовано
Том
23
Год
2022
Организации
  • 1 Рeoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St., Moscow, 117198, Russian Federation
  • 2 Association of Vascular Urologists and Reproductologists, 18 Mironovskaya St., Moscow, 105187, Russian Federation
  • 3 Research Centre for Medical Genetics, 1 Moskvorechie St., Moscow, 115522, Russian Federation
  • 4 N.I. Pirogov Russian National Research Medical University, 1 Ostrovityanova St., Moscow, 117997, Russian Federation
Ключевые слова
artificial intelligence; assisted reproductive technologies; fertility; germ cells; human reproduction; infertility; neural networks
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