AIMC Topic: Gestational Age

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Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time.

Prenatal diagnosis Oct 18, 2021
OBJECTIVE: Advances in artificial intelligence (AI) have demonstrated potential to improve medical diagnosis. We piloted the end-to-end automation of the mid-trimester screening ultrasound scan using AI-enabled tools.
Humans Artificial Intelligence Adult Ultrasonography, Prenatal Gestational Age Congenital Abnormalities Prospective Studies Pregnancy Female Reproducibility of Results
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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...
Female Infant, Newborn Parity Adult Machine Learning Prospective Studies Hypertension, Pregnancy-Induced Pregnancy Gas Chromatography-Mass Spectrometry Pregnancy Complications Gestational Age Maternal Age Body Mass Index Humans Metabolomics Models, Biological Japan
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Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.

BMC pregnancy and childbirth Sep 7, 2021
BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (LMICs) contribute substantially to global neonatal and infant mortality. Tracking this metric is critical at a population level for informed policy, ad...
Gestational Age Infant, Newborn Asia Premature Birth Developing Countries Male Africa South of the Sahara Ultrasonography, Prenatal Algorithms Neonatal Screening Cohort Studies Prospective Studies ROC Curve Humans Pregnancy Metabolomics Machine Learning Female
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Deep learning-based parameter estimation in fetal diffusion-weighted MRI.

NeuroImage Aug 26, 2021
Diffusion-weighted magnetic resonance imaging (DW-MRI) of fetal brain is challenged by frequent fetal motion and signal to noise ratio that is much lower than non-fetal imaging. As a result, accurate and robust parameter estimation in fetal DW-MRI re...
Anisotropy Diffusion Magnetic Resonance Imaging Signal-To-Noise Ratio Fetus Gestational Age Humans Neural Networks, Computer Infant, Newborn Deep Learning Reproducibility of Results Image Processing, Computer-Assisted Motion Infant, Premature
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Analysis of maturation features in fetal brain ultrasound via artificial intelligence for the estimation of gestational age.

American journal of obstetrics & gynecology MFM Aug 14, 2021
BACKGROUND: Optimal prenatal care relies on accurate gestational age dating. After the first trimester, the accuracy of current gestational age estimation methods diminishes with increasing gestational age. Considering that, in many countries, access...
Brain Pregnancy Female Ultrasonography, Prenatal Gestational Age Crown-Rump Length Humans Artificial Intelligence
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Machine Learning Models for Predicting Neonatal Mortality: A Systematic Review.

Neonatology Jul 14, 2021
INTRODUCTION: Approximately 7,000 newborns die every day, accounting for almost half of child deaths under 5 years of age. Deciphering which neonates are at increased risk for mortality can have an important global impact. As such, integrating high c...
Child Infant Mortality Gestational Age Perinatal Death Pregnancy Female Infant, Newborn Infant Humans Artificial Intelligence Machine Learning
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Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation.

Chinese medical journal Jul 1, 2021
BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on d...
Humans Neural Networks, Computer Algorithms Infant Lung Deep Learning Gestational Age Pregnancy Female Infant, Newborn
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Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates.

Computers in biology and medicine Jun 3, 2021
Premature birth is the primary risk factor in neonatal deaths, with the majority of extremely premature babies cared for in neonatal intensive care units (NICUs). Mortality risk prediction in this setting can greatly improve patient outcomes and reso...
Infant Birth Weight Gestational Age Intensive Care Units, Neonatal Female Infant, Newborn Risk Factors Risk Assessment Humans Neural Networks, Computer Pregnancy
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Fetal MRI-based artificial intelligence in gestational age prediction--a practical solution to an unsolved problem?

European radiology Apr 22, 2021
Fetus Gestational Age Humans Artificial Intelligence Magnetic Resonance Imaging
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Deep learning model for predicting gestational age after the first trimester using fetal MRI.

European radiology Apr 14, 2021
OBJECTIVES: To evaluate a deep learning model for predicting gestational age from fetal brain MRI acquired after the first trimester in comparison to biparietal diameter (BPD).
Retrospective Studies Pregnancy Female Ultrasonography, Prenatal Humans Magnetic Resonance Imaging Pregnancy Trimester, First Fetus Gestational Age Prenatal Care Infant Deep Learning
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