Machine learning opportunities to predict obstetric haemorrhages by Yu. S. Boldina, A. A. Ivshin

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Artificial intelligence technologies in predicting preeclampsia by A. A. Ivshin, T. Z. Bagaudin, A. V. Gusev

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Cereral Circulation in Preeclampsia by A. A. Ivshin, Ye. M. Shifman, Ye. G. Gumenyuk

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Promising methods of prenatal diagnostics based on passive sensors and machine learning by A. A. Ivshin, V. M. Vorobyova, N. A. Malyshev

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Machine learning based on laboratory data for disease prediction by A. V. Gusev, R. E. Novitskiy, A. A. Ivshin, A. A. Alekseev

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Experience of laparoscopic transabdominal cerclage for the correction of cervical insufficiency during pregnancy: a clinical case and literature review by A. A. Ivshin, O. O. Pogodin, E. Yu. Shakurova, T. Yu. Ldinina, V. S. Nikitin

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Outcomes of Placental Abruption Depending on Severity of Pre-Eclampsia: A Multicentre Cohort Observational Retrospective Study by I. S. Rudakova, E. M. Shifman, G. P. Tikhova, M. A. Andriyakhova, N. V. Artymuk, V. A. Bagiyants, F. R. Barakaeva, S. V. Barinov, N. A. Barkovskaya, A. A. Belinina, T. E. Belokrinitskaya, R. V. Bikkuzhin, A. V. Bulavintseva, E. A. Bukharova, A. A. Bukhtin, I. G. Verveiko, V. S. Gorokhovskiy, D. E. Gurbanov, E. N. Degtyarev, K. G. Eliseeva, A. A. Ivshin, R. V. Kapustin, N. Yu. Katkova, K. A. Kargina, P. V. Kokh, A. A. Kuverin, L. V. Kuklina, A. V. Kulikov, T. Yu. Marochko, D. V. Marshalov, N. M. Milyaeva, A. A. Golovachuk, E. S. Nadezhina, S. V. Novikova, S. V. Ovechkin, A. V. Petrov, I. M. Pozdnyakov, E. G. Prodanchuk, N. Yu. Pylaeva, O. V. Riazanova, I. V. Savelyeva, A. A. Sleta, V. D. Snezhko, M. G. Tupikin, E. Yu. Upryamova, A. I. Cherny, N. V. Shindyapina, O. B. Shulman

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