The state of and prospects for the introduction of artificial intelligence technologies in obstetric and gynecological practice

DOI

https://dx.doi.org/10.18565/aig.2021.2.5-12

Sukhikh G.T., Davydov D.G., Loginov V.V., Baev O.R., Prikhodko A.M., Sheshko E.L., Chmykhova E.V.
1) Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation, Moscow, Russia; 2) Open University of Humanities and Economics, Moscow, Russia; 3) Department of Obstetrics, Gynecology, Perinatology, and Reproductology, Institute for Postgraduate Training of Physicians, I.M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Moscow, Russia; 4) “Electronic Education” LLC, Moscow, Russia

The authors have carried out a systematic review of the literature devoted to the current state of and prospects for the use of artificial intelligence (AI) in the field of maternal and fetal health. They have revealed the concept of AI and the ways of its development in medicine. It has been noted that AI does not replace a physician, but it is a tool for improving medical activity. The article shows the possibilities of AI use in obstetrics and gynecology and highlights its areas: medical image recognition; prediction and assistance to physicians in determining the diagnosis; creation of recommendation systems for selecting a treatment; robotization of medical manipulations and augmented reality; optimization of the routine functions of healthcare workers; services for interaction and training of physicians and patients. In addition, AI can be used for scientific purposes to understand complex multifactorial mechanisms for the development of diseases; to create disease information models, new classifications of diseases, and models of therapeutic effects. AI is also able to automatically retrieve new medical information from clinical case reports and scientific publications. The paper gives specific examples of developments in these areas. It considers the expected difficulties in introducing AI systems and describes immediate steps for their implementation. The development of AI systems requires physicians’ direct participation, including the selection and preparation of data, the formulation of medical tasks, and their translation into the language of machine learning specialists. It is concluded that AI-based applications in obstetrics and gynecology have already become a reality, and in the near future they will reduce the burden on medical professionals, improve the effectiveness of diagnosis, prediction, and treatment, and prevent medical errors. It is promising to use AI in telemedicine systems to provide assistance to physicians and patients outside the locations of large medical complexes.
Conclusion. The results of the review can be used to identify promising researches, to develop a national program for AI introduction in obstetric and gynecological practice and in educational programs, and to improve the qualification of healthcare workers.

artificial intelligence

obstetrics

gynecology

machine learning

pregnancy

childbirth

decision support system

Full text (in Russian)

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Received 22.12.2020

Accepted 11.01.2021

Gennady T. Sukhikh, Dr. Med. Sci., Professor, Academician of the RAS, Director of Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia. Tel.: +7(495)438-18-00. E-mail: g_sukhikh@oparina4.ru. 117997, Russia, Moscow, Ac. Oparina str., 4.
Denis G. Davydov, PhD, Associate professor, Open University of Humanities and Economics. Tel: +7(926)120-85-22. E-mail: dgdavydov19@gmail.com.
109029, Russia, Moscow, Nizhegorodskaya str., 32-4.
Viktor V. Loginov, PhD, Head of Laboratory of Neurophysiology, Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia. Tel.: +7(495)316-13-75. E-mail: v_loginov@oparina4.ru. 117997, Russia, Moscow, Ac. Oparina str., 4.
Oleg R. Baev, Dr. Med. Sci., professor, Head of Maternity Department, Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia; professor of the Department of Obstetrics, Gynecology, Perinatology, and Reproductology, I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia. Tel: +7(495)438-11-88. E-mail: o_baev@oparina4.ru. 117997, Russia, Moscow, Ac. Oparina str., 4.
Andrey M. Prikhodko, PhD, physician of the Maternity Department, assistant of the Department of Obstetrics and Gynecology, researcher of the Innovative Technologies Department of Obstetrics Institute, Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia. Tel.: +7(495)438-30-47. E-mail: a_prikhodko@oparina4.ru. 117997, Russia, Moscow, Ac. Oparina str., 4.
Elena L. Sheshko, PhD, Head of the Department of Project Organization, Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia. Tel.: +7(495)531-44-44 ext. 1113. E-mail: e_sheshko@oparina4.ru. 117997, Russia, Moscow, Ac. Oparina str., 4.
Ekaterina V. Chmykhova, PhD, Head of Research, Electronic Education LLC. Tel.: +7(495)638-29-12. E-mail: katrinchm@yandex.ru. 129090, Russia, Moscow, Prospect Mira ave., 14-1.

For citation: Sukhikh G.T., Davydov D.G., Loginov V.V., Baev O.R., Prikhodko A.M., Sheshko E.L., Chmykhova E.V. The state of and prospects for the introduction of artificial intelligence technologies in obstetric and gynecological practice.
Akusherstvo i Ginekologiya/Obstetrics and Gynecology. 2021; 2: 5-12 (in Russian)
https://dx.doi.org/10.18565/aig.2021.2.5-12

The state of and prospects for the introduction of artificial intelligence technologies in obstetric and gynecological practice

Sukhikh G.T., Davydov D.G., Loginov V.V., Baev O.R., Prikhodko A.M., Sheshko E.L., Chmykhova E.V.

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