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Our goal is to apply artificial intelligence (AI) and statistical analysis to understand the relationship between various factors and outcomes during pregnancy and labor and delivery, in order to personalize birth management and reduce complications for both mothers and newborns. We use a structured electronic health records database with data from approximately 130,000 births to train, test and validate our models. We apply machine learning (ML) methods to predict various obstetrical outcomes before and during labor, with the aim of improving patient care management in the delivery ward. Using a large cohort of data (~180 million data points), we then demonstrated that ML models can predict successful vaginal delivery, in the general population as well as a sub-cohort of women attempting trial of labor after a cesarean delivery. The real-time dynamic model showed increasing rates of accuracy as the delivery process progressed and more data became available for analysis. Additionally, we developed a cross-facilities application of an AI model that predicts the need for an unplanned cesarean delivery, illuminating the challenges associated with inter-facility variation in reporting practices. Overall, these studies combine novel technologies with currently available data to predict and assist safe deliveries for mothers and babies, both locally and globally. [ABSTRACT FROM AUTHOR]

Background: Chromosomal‐microarray‐analysis (CMA) may reveal susceptibility‐loci (SL) of varied penetrance for autism‐spectrum‐disorder (ASD) and other neurodevelopmental conditions. Attitudes of women/parents to disclosure of SL during pregnancy are understudied. Methods: A multiple‐choice questionnaire was distributed to postpartum women. Data were collected on women's interest to receive prenatal genetic information with various levels of penetrance. Results: Women's (n = 941) disclosure choices were dependent on the magnitude of risk: approximately 70% supported disclosure of either full or 40% penetrance, 53% supported disclosure at a 20% risk threshold, and 40% supported disclosure at 10% or less. Although most women supported, rejected or were indecisive about disclosure consistently across all risk levels, nearly one‐quarter (24%) varied their responses based on penetrance, and this was associated with religiosity, education, parity and concern about fetal health (p‐values <0.04). Among those who varied their choices, the risk threshold was lower among secular women (20%) than among ultraorthodox women (40%). In a multivariable analysis, ultraorthodox women were much less likely to vary their choices on ASD disclosure compared with secular women (aOR = 0.37, p < 0.001). Conclusion: Women's attitudes toward disclosure are influenced by the level of risk and their individual characteristics. We therefore encourage engaging women/couples in disclosure decisions regarding uncertain and probabilistic results from prenatal genomic tests. Key points: What's already known about this topic? Disclosure policy of susceptibility‐loci (SL) ranges from full disclosure via the disclosure of SLs with 20% and above penetrance to parental choice regarding low penetrance SL.When offered a choice, women tend to request maximum information on their fetuses. What does this study add? Women's attitudes toward the disclosure of genetic information are influenced not only by the severity of the condition but also by the level of risk.Choices are associated with women's cultural characteristics. [ABSTRACT FROM AUTHOR]

Introduction: Placenta accrete spectrum (PAS) is a complicated obstetrical condition arising from abnormal implantation of the placenta into the myometrium. The placenta might partially or completely adhere to the myometrium and in rare cases invade adjacent organs (placenta percreta). The abnormal placentation might cause life-threatening hemorrhages during pregnancy and birth, increasing maternal and neonatal mortality and morbidity. Detachment of the placenta after delivery in PAS might be difficult and requires manual removal of the placenta as well as advanced surgical procedures in more serious cases. In the past decades, several studies have demonstrated that removing the uterus while the placenta is still in situ avoided massive hemorrhage. However, in some cases, preserving the uterus and the fertility of the patient is desired and therefore advanced surgical procedures have been developed. Several techniques for uterine preserving procedures have been described: conservative management - closing the uterus while the placenta is still in situ and complementary procedures to remove the placenta, using interventional radiology to reduce the blood supply to the uterus and other surgical approaches to reduce the blood supply to the uterus. In this article we will review the different methods for uterine preserving techniques in treating advanced cases of PAS and propose a surgical protocol for such a method we use in our medical center.