AIMC Topic: Pregnancy Complications

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Prediction of metabolic syndrome following a first pregnancy.

American journal of obstetrics and gynecology Mar 26, 2024
BACKGROUND: The prevalence of metabolic syndrome is rapidly increasing in the United States. We hypothesized that prediction models using data obtained during pregnancy can accurately predict the future development of metabolic syndrome.
Humans Machine Learning Prospective Studies Pregnancy Cohort Studies ROC Curve Metabolic Syndrome Pregnancy Complications Female Parity Risk Factors Adult
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Prediction of pregnancy-related complications in women undergoing assisted reproduction, using machine learning methods.

Fertility and sterility Feb 17, 2024
OBJECTIVE: To use machine learning methods to develop prediction models of pregnancy complications in women who conceived with assisted reproductive techniques (ART).
Predictive Value of Tests Registries Pregnancy Complications Reproductive Techniques, Assisted Humans Sweden Machine Learning Risk Factors Pregnancy Adult Female Risk Assessment
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Machine learning based assessment of preclinical health questionnaires.

International journal of medical informatics Oct 21, 2023
BACKGROUND: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile and wearable electronic system...
Humans Surveys and Questionnaires Smoking Pregnancy Complications Machine Learning Tobacco Smoking Pregnancy Female Risk Assessment
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Deep Learning Algorithm-Based Magnetic Resonance Imaging Feature-Guided Serum Bile Acid Profile and Perinatal Outcomes in Intrahepatic Cholestasis of Pregnancy.

Computational and mathematical methods in medicine Jun 6, 2022
This study was aimed to explore magnetic resonance imaging (MRI) based on deep learning belief network model in evaluating serum bile acid profile and adverse perinatal outcomes of intrahepatic cholestasis of pregnancy (ICP) patients. Fifty ICP pregn...
Humans Pregnancy Female Deep Learning Pregnancy Complications Gallstones Glycocholic Acid Pregnancy Outcome Magnetic Resonance Imaging Bile Acids and Salts Cholestasis, Intrahepatic
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[The role of bile acid measurement in the management of intrahepatic cholestasis of pregnancy].

Orvosi hetilap May 15, 2022
Introduction: Intrahepatic cholestasis of pregnancy complicates 1% of pregnancies. It increases the risk of severe fetal complications significantly, including preterm delivery and stillbirth. Objective: To summarize our experience with serum total b...
Cholestasis, Intrahepatic Female Humans Pregnancy Complications Infant, Newborn Ursodeoxycholic Acid Retrospective Studies Adult Pregnancy Stillbirth Bile Acids and Salts
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Detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning.

Scientific reports Dec 17, 2021
In the pregnant mother and her fetus, chronic prenatal stress results in entrainment of the fetal heartbeat by the maternal heartbeat, quantified by the fetal stress index (FSI). Deep learning (DL) is capable of pattern detection in complex medical d...
Signal Processing, Computer-Assisted Pregnancy Complications Fetal Diseases Fetus Pregnancy Female Adult Middle Aged Deep Learning Adolescent Stress, Psychological Electrocardiography Humans Databases, Factual
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Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy.

Computational and mathematical methods in medicine Oct 29, 2021
OBJECTIVE: To explore the image enhancement model based on deep learning on the effect of ureteroscopy with double J tube placement and drainage on ureteral stones during pregnancy. We compare the clinical effect of ureteroscopy with double J tube pl...
Image Enhancement Computational Biology Female Humans Models, Statistical Ureteroscopy Diagnosis, Computer-Assisted Neural Networks, Computer Artifacts Ureteral Calculi Deep Learning Pregnancy Pregnancy Complications Lithotripsy Ultrasonography
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Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis.

Scientific reports Sep 7, 2021
The elucidation of dynamic metabolomic changes during gestation is particularly important for the development of methods to evaluate pregnancy status or achieve earlier detection of pregnancy-related complications. Some studies have constructed model...
Maternal Age Hypertension, Pregnancy-Induced Japan Gas Chromatography-Mass Spectrometry Pregnancy Complications Gestational Age Pregnancy Female Infant, Newborn Parity Adult Body Mass Index Metabolomics Models, Biological Humans Machine Learning Prospective Studies
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Intrahepatic cholestasis of pregnancy: machine-learning algorithm to predict elevated bile acid based on clinical and laboratory data.

Archives of gynecology and obstetrics Feb 19, 2021
PURPOSE: Applying machine-learning models to clinical and laboratory features of women with intrahepatic cholestasis of pregnancy (ICP) and creating algorithm to identify these patients without bile acid measurements.
Humans Machine Learning Algorithms Retrospective Studies Pregnancy Female Infant, Newborn Adult Liver Function Tests Pregnancy Outcome Bile Acids and Salts Cholestasis, Intrahepatic Pregnancy Complications
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Artificial intelligence: The current state of affairs for AI in pregnancy and labour.

Journal of gynecology obstetrics and human reproduction Dec 31, 2020
Pregnancy Complications Obstetric Labor, Premature Humans Postnatal Care Premature Birth Pregnancy, Ectopic Artificial Intelligence Risk Assessment Obstetric Labor Complications Pregnancy Cardiotocography Female Pre-Eclampsia
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