Enhancing the efficiency of assisted reproductive technologies using artificial intelligence and machine learning at the embryological stage


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Abstract

The authors have carried out a systems analysis of the data available in the literature on the possibilities of using the latest artificial intelligence (AI) techniques in the field of assisted reproductive technologies (ART). The review covers a number of foreign and Russian publications on this topic. The analysis of the literature has led to the conclusion that scientific collaborations in the field of ART and AI open up new opportunities for working with the biological material of infertile patients and increase their chances of becoming parents. A more accurate and standardized analysis of the structure and morphology will enable clinical embryologists to select the most viable embryos for transfer and to use the best sperm for fertilization in ART programs. Despite the fact that many methods in this area still remain experimental and require further studies and improvement; these will be able to create the assisted systems implementing decision support. However, reproductive centers need the systems. The relevance of these systems in modern medicine leaves no doubt: tools are often lacking; the health-disease borders are quite wide and may overlap; the final prediction is subjective.

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About the authors

Anastasia P. Sysoeva

Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation

Email: sysoeva.a.p@gmail.com
embryologist of the Department of Assistive Technologies in the Treatment of Infertility

Natalya P. Makarova

Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation

Email: np_makarova@oparina4.ru
Doctor of Biological Sciences, Leading Researcher of the Department of Assistive Technologies in the Treatment of Infertility

Elena Anatolievna Kalinina

Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation

Email: e_kalinina@oparina4.ru
Doctor of Medical Sciences, Head of the Department of Assistive Technologies in the Treatment of Infertility

Julia Sergeevna Skibina

Research Production Enterprise "Nanostructured Glass Technology"; International Research Educational Center "Structure-Mediated Nanobiophotonics"

Email: director@nano-glass.ru
Candidate of Physics and Mathematics, Director

Anastasia A. Zanishevskaya

Research Production Enterprise "Nanostructured Glass Technology"; International Research Educational Center "Structure-Mediated Nanobiophotonics"

Email: zanishevskayaaa@nano-glass.ru
Senior Researcher, NPP Nanostructural Glass Technology LLC, Head of the Advanced

Natalia Olegovna Yanchuk

Research Production Enterprise "Nanostructured Glass Technology"; International Research Educational Center "Structure-Mediated Nanobiophotonics"

Email: info@nano-glass.ru
Candidate of medical sciences, head of the sensor technology department

Aleksey Yu. Gryaznov

Research Production Enterprise "Nanostructured Glass Technology"; International Research Educational Center "Structure-Mediated Nanobiophotonics"

Email: info@nano-glass.ru
Leading Researcher, NPP Nanostructural Glass Technology LLC, Head of the Decision System Department of the Structural Nanobiophotonics Research Center.

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