AIMC Topic: Obstetric Labor, Premature

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Automatic semantic segmentation of EHG recordings by deep learning: An approach to a screening tool for use in clinical practice.

Computer methods and programs in biomedicine Jul 5, 2024
BACKGROUND AND OBJECTIVE: Preterm delivery is an important factor in the disease burden of the newborn and infants worldwide. Electrohysterography (EHG) has become a promising technique for predicting this condition, thanks to its high degree of sens...
Female Infant, Newborn Adult Databases, Factual Pregnancy Electromyography Semantics Obstetric Labor, Premature Deep Learning Signal Processing, Computer-Assisted Humans
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Deep learning algorithm for predicting preterm birth in the case of threatened preterm labor admissions using transvaginal ultrasound.

Journal of medical ultrasonics (2001) Dec 15, 2023
PURPOSE: Preterm birth presents a major challenge in perinatal care, and predicting preterm birth remains a major challenge. If preterm birth cases can be accurately predicted during pregnancy, preventive interventions and more intensive prenatal mon...
Neural Networks, Computer Algorithms Pregnancy Humans Cervix Uteri Predictive Value of Tests Cervical Length Measurement Obstetric Labor, Premature Adult Ultrasonography, Prenatal Deep Learning Female Premature Birth
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Predicting preterm births from electrohysterogram recordings via deep learning.

PloS one May 11, 2023
About one in ten babies is born preterm, i.e., before completing 37 weeks of gestation, which can result in permanent neurologic deficit and is a leading cause of child mortality. Although imminent preterm labor can be detected, predicting preterm bi...
Deep Learning Child Parturition Infant, Newborn Premature Birth Obstetric Labor, Premature Pregnancy Female Humans
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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
Obstetric Labor Complications Postnatal Care Pregnancy Complications Artificial Intelligence Obstetric Labor, Premature Humans Pregnancy Pregnancy, Ectopic Premature Birth Female Cardiotocography Risk Assessment Pre-Eclampsia
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Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants.

Journal of Korean medical science Apr 29, 2019
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinants.
Logistic Models Neural Networks, Computer Gestational Age Pregnancy Hypertension Humans Female Body Mass Index Area Under Curve Obstetric Labor, Premature Risk Factors Placenta Adult Cervix Uteri Infant, Newborn ROC Curve Premature Birth Diabetes Mellitus
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Sludge reflects intra-amniotic inflammation with or without microorganisms.

American journal of reproductive immunology (New York, N.Y. : 1989) Dec 27, 2017
PROBLEM: To investigate whether amniotic fluid (AF) "sludge" in patients with preterm labor (PTL) with intact membranes is related to intra-amniotic infection or inflammation.
Amniotic Fluid Chorioamnionitis Obstetric Labor, Premature Infections Mycoplasma Ultrasonography Pregnancy Interleukin-8 Female Polymerase Chain Reaction Humans Ureaplasma Particulate Matter Gestational Age Retrospective Studies
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