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Application of machine learning algorithms in morphopathology and in assisted reproductive technologies
Vishnyakova P.A., Kaprulevich E.A., Kirillova A.O., Ananiev V.V., Naumov A.Y., Fatkhudinov T.K.
Application of fiber optic methods and artificial intelligence in ejaculate diagnosis in infertile males in the assisted reproductive technology programs
Sukhikh G.T., Skibina J.S., Zanishevskaya A.A., Shuvalov A.A., Yanchuk N.O., Gryaznov A.Y., Sysoeva A.P., Makarova N.P., Valiakhmetova E.Z., Kalinina E.A., Lepilin P.A.
The computer-assisted clinical and diagnostic data analysis system for planning an optimal surgical intervention in newborns with lung malformations
Dorofeeva E.I., Podyrovskaya Y.L., Tumanova U.N., Nemkovskyi G.B., Balashov I.S., Prokhin A.V., Bychenko V.G., Degtyarev D.N.
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.
Predicting the success of in vitro fertilization in patients with chronic endometritis and reproductive disorders using neural network technology (secondary analysis of the results of the TULIP-2 randomized controlled trial)
Sukhanov A.A., Dikke G.B., Mudrov V.A., Kukarskaya I.I.
Prediction of spontaneous pregnancy in patients with chronic endometritis and reproductive dysfunction using neural network technology (secondary analysis of the results of the "TULIP" randomized controlled trial)
Sukhanov A.A., Dikke G.B., Mudrov V.A., Kukarskaya I.I.
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