THE STATE OF AND PROSPECTS FOR THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN OBSTETRIC AND GYNECOLOGICAL PRACTICE


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Abstract

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 classif ications 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 f uture 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.

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About the authors

Gennady T. Sukhikh

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

Email: g_sukhikh@oparina4.ru
Dr. Med. Sci., Professor, Academician of the RAS, Director of Academician 117997, Russia, Moscow, Ac. Oparina str., 4

Denis G. Davydov

Open University of Humanities and Economics

Email: dgdavydov19@gmail.com
PhD, Associate professor 109029, Russia, Moscow, Nizhegorodskaya str., 32-4

Viktor V. Loginov

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

Email: v_loginov@oparina4.ru
PhD, Head of Laboratory of Neurophysiology 117997, Russia, Moscow, Ac. Oparina str., 4

Oleg R. Baev

Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation; I.M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation

Email: o_baev@oparina4.ru
Dr. Med. Sci., professor, Head of Maternity Department; professor of the Department of Obstetrics, Gynecology, Perinatology, and Reproductology 117997, Russia, Moscow, Ac. Oparina str., 4

Andrey M. Prikhodko

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

Email: a_prikhodko@oparina4.ru
PhD, physician of the Maternity Department, assistant of the Department of Obstetrics and Gynecology, researcher of the Innovative Technologies Department of Obstetrics Institute 117997, Russia, Moscow, Ac. Oparina str., 4

Elena L. Sheshko

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

Email: e_sheshko@oparina4.ru
PhD, Head of the Department of Project Organization 117997, Russia, Moscow, Ac. Oparina str., 4

Ekaterina V. Chmykhova

"Electronic Education" LLC

Email: katrinchm@yandex.ru
PhD, Head of Research

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