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From clinical observation to digital prediction: research in contemporary obstetrics, gynecology, and reproduction

https://doi.org/10.17749/2313-7347/ob.gyn.rep.2026.786

Abstract

The article is devoted to the key research directions presented in the third issue of the journal for 2026. The materials of this issue reflect the transition of contemporary science from traditional clinical observation and pathogenetic analysis to digital prediction, personalized risk assessment, and interdisciplinary interpretation of data. Particular attention is paid to publications addressing the use of artificial intelligence and machine learning for predicting pregnancy complications, as well as the need for critical assessment of source data quality, external validation, and clinical applicability of such models. In addition, the article discusses studies focused on hemostatic disorders, endothelial dysfunction, preeclampsia, reproductive health, gynecologic oncology, assisted reproductive technologies, and cancer-associated thrombosis. In the context of the growing role of digital technologies and generative artificial intelligence in medical science, the importance of methodological rigor, scientific continuity, and authorial responsibility is emphasized. The editorial board is concerned about the increasing number of manuscripts submitted by paper mills.

About the Authors

A. D. Makatsariya
Sechenov University
Russian Federation

Alexander D. Makatsariya, MD, Dr Sci Med, Prof., Academician of RAS

Scopus Author ID: 57222220144.

WoS ResearcherID: M-5660-2016.

8 bldg. 2, Trubetskaya Str., Moscow 119048



A. V. Vorobev
Sechenov University
Russian Federation

Alexander V. Vorobev, MD, Dr Sci Med. 

Scopus Author ID: 57191966265.

WoS ResearcherID: F-8804-2017

8 bldg. 2, Trubetskaya Str., Moscow 119048



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Review

For citations:


Makatsariya A.D., Vorobev A.V. From clinical observation to digital prediction: research in contemporary obstetrics, gynecology, and reproduction. Obstetrics, Gynecology and Reproduction. 2026;20(3):402–408. (In Russ.) https://doi.org/10.17749/2313-7347/ob.gyn.rep.2026.786

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ISSN 2313-7347 (Print)
ISSN 2500-3194 (Online)