AIMC Topic: Prenatal Care
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Machine learning to anticipate delivery room activity?
Journal of gynecology obstetrics and human reproduction
Dec 1, 2018
A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies.
Metabolomics : Official journal of the Metabolomic Society
May 25, 2018
BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, with an incidence of approximately 1% of all births. They are currently diagnosed using ultrasound evaluation. However, there is strong need for a more a...
Vitamin D: Effects on human reproduction, pregnancy, and fetal well-being.
The Journal of steroid biochemistry and molecular biology
Dec 17, 2017
Pregnancy places exceptional demands on vitamin D and calcium availability; thus, their deficiencies during pregnancy threaten the woman and her fetus. Globally, vitamin D and other micronutrient deficiencies are common during pregnancy, especially i...
From passive passenger to participating co-pilot - Pregnant women's expectations of being able to access their online journal from antenatal care.
Sexual & reproductive healthcare : official journal of the Swedish Association of Midwives
Nov 28, 2017
OBJECTIVE: The aim of the study was to describe pregnant women's expectations of being able to access their electronic health records from antenatal care.
Machine Learning for Social Services: A Study of Prenatal Case Management in Illinois.
American journal of public health
Apr 20, 2017
OBJECTIVES: To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services.
Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.
Health care management science
Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Humans
Artificial Intelligence
Pregnancy
Female
Premature Birth
Gestational Age
Risk Adjustment
Diagnosis-Related Groups
Hospital Administration
Intensive Care Units, Neonatal
Bayes Theorem
Birth Weight
Prenatal Care
Outcome Assessment, Health Care
Hospital Mortality
Pregnancy Complications
Logistic Models
Socioeconomic Factors
Fetal origins of adult disease: transforming prenatal care by integrating Barker's Hypothesis with AI-driven 4D ultrasound.
Journal of perinatal medicine
May 26, 2025
INTRODUCTION: The fetal origins of adult disease, widely known as Barker's Hypothesis, suggest that adverse fetal environments significantly impact the risk of developing chronic diseases, such as diabetes and cardiovascular conditions, in adulthood....
Prediction of hypertension and diabetes in twin pregnancy using machine learning model based on characteristics at first prenatal visit: national registry study.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
May 1, 2025
OBJECTIVE: To develop a prediction model for hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM) in twin pregnancy using characteristics obtained at the first prenatal visit.
Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.
Briefings in bioinformatics
Sep 2, 2021
OBJECTIVE: Development of novel informatics methods focused on improving pregnancy outcomes remains an active area of research. The purpose of this study is to systematically review the ways that artificial intelligence (AI) and machine learning (ML)...
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