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Title
Authors
No 5 (2021)
Artificial intelligence on guard of reproductive health
Ivshin A.A., Bagaudin T.Z., Gusev A.V.
PDF
(Rus)
No 10 (2024)
Pregestational neural network prediction of fetal growth restriction or small-for-gestational-age fetus with subsequent intensive care of the newborn
Ziyadinov A.A., Novikova V.A., Radzinsky V.E.
PDF
(Rus)
No 7 (2024)
Assessment of the impact of male factor infertility on the outcomes of assisted reproductive technology programs using machine learning techniques
Drapkina Y.S., Makarova N.P., Kulakova E.V., Kalinina E.A.
PDF
(Rus)
No 3 (2024)
Application of various machine learning techniques to the analysis of clinical, anamnestic, and embryological data of patients undergoing assisted reproductive technologies
Drapkina Y.S., Makarova N.P., Vasiliev R.A., Amelin V.V., Frankevich V.E., Kalinina E.A.
PDF
(Rus)
No 2 (2021)
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.
PDF
(Rus)
No 2 (2024)
Comparison of predictive models built with different machine learning techniques using the example of predicting the outcome of assisted reproductive technologies
Drapkina Y.S., Makarova N.P., Vasiliev R.A., Amelin V.V., Kalinina E.A.
PDF
(Rus)
No 7 (2020)
Enhancing the efficiency of assisted reproductive technologies using artificial intelligence and machine learning at the embryological stage
Sysoeva A.P., Makarova N.P., Kalinina E.A., Skibina J.S., Zanishevskaya A.A., Yanchuk N.O., Gryaznov A.Y.
PDF
(Rus)
No 10 (2023)
Development and validation of models to predict total and early-onset preeclampsia in the first trimester of pregnancy using machine learning algorithms
Andreychenko A.E., Luchinin A.S., Ivshin A.A., Ermak A.D., Novitskiy R.E., Gusev A.V.
PDF
(Rus)
No 4 (2025)
The use of artificial intelligence-based web application for managing health records
Tumanov N.A.
PDF
(Rus)
No 11 (2022)
Artificial intelligence in reproductive medicine: ethical and clinical aspects
Drapkina Y.S., Kalinina E.A., Makarova N.P., Milchakov K.S., Frankevich V.E.
PDF
(Rus)
No 11 (2024)
Remote monitoring of pregnant women: the Orenburg experience
Savinova T.L., Grudkin A.A., Ermolaeva I.V., Kundik T.A., Zingerman B.V., Abu Al Laban N.A., Borodin R.A., Yakovleva I.V., Kholin A.M., Shuvalova M.P., Sukhikh G.T.
PDF
(Rus)
No 12 (2022)
Search for the predictors of fetal growth restriction: from a measuring tape to artificial intellect
Gumeniuk E.G., Ivshin A.A., Boldina Y.S.
PDF
(Rus)
1 - 12 of 12 Items

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