AIMC Topic: Fetus

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Accessing Artificial Intelligence for Fetus Health Status Using Hybrid Deep Learning Algorithm (AlexNet-SVM) on Cardiotocographic Data.

Sensors (Basel, Switzerland) Jul 7, 2022
Artificial intelligence is serving as an impetus in digital health, clinical support, and health informatics for an informed patient's outcome. Previous studies only consider classification accuracies of cardiotocographic (CTG) datasets and disregard...
Humans Deep Learning Support Vector Machine Health Status Fetus Neural Networks, Computer Artificial Intelligence Algorithms
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A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.

Sensors (Basel, Switzerland) Apr 26, 2022
Non-invasive foetal electrocardiography (NI-FECG) has become an important prenatal monitoring method in the hospital. However, due to its susceptibility to non-stationary noise sources and lack of robust extraction methods, the capture of high-qualit...
Signal Processing, Computer-Assisted Fetus Female Deep Learning Electrocardiography Humans Neural Networks, Computer Algorithms Pregnancy
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Artificial intelligence applied to fetal MRI: A scoping review of current research.

The British journal of radiology Mar 18, 2022
Artificial intelligence (AI) is defined as the development of computer systems to perform tasks normally requiring human intelligence. A subset of AI, known as machine learning (ML), takes this further by drawing inferences from patterns in data to '...
Machine Learning Magnetic Resonance Imaging Medical Oncology Fetus Humans Artificial Intelligence
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Imaging fetal anatomy.

Seminars in cell & developmental biology Mar 10, 2022
Due to advancements in ultrasound techniques, the focus of antenatal ultrasound screening is moving towards the first trimester of pregnancy. The early first trimester however remains in part, a 'black box', due to the size of the developing embryo a...
Fetus Female Prenatal Diagnosis Infant, Newborn Humans Magnetic Resonance Imaging Artificial Intelligence Pregnancy
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Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach.

AJNR. American journal of neuroradiology Feb 17, 2022
BACKGROUND AND PURPOSE: MR imaging provides critical information about fetal brain growth and development. Currently, morphologic analysis primarily relies on manual segmentation, which is time-intensive and has limited repeatability. This work aimed...
Humans Brain Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Fetus
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Deep learning fetal ultrasound video model match human observers in biometric measurements.

Physics in medicine and biology Feb 16, 2022
This work investigates the use of deep convolutional neural networks (CNN) to automatically perform measurements of fetal body parts, including head circumference, biparietal diameter, abdominal circumference and femur length, and to estimate gestati...
Deep Learning Fetus Gestational Age Pregnancy Female Ultrasonography, Prenatal Biometry Humans
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Attention-guided deep learning for gestational age prediction using fetal brain MRI.

Scientific reports Jan 26, 2022
Magnetic resonance imaging offers unrivaled visualization of the fetal brain, forming the basis for establishing age-specific morphologic milestones. However, gauging age-appropriate neural development remains a difficult task due to the constantly c...
Female Deep Learning Image Processing, Computer-Assisted United States Magnetic Resonance Imaging Turkey Humans Fetus Brain Artifacts Gestational Age Datasets as Topic Pregnancy Pregnancy Trimesters Neuroimaging
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Deep robust residual network for super-resolution of 2D fetal brain MRI.

Scientific reports Jan 10, 2022
Spatial resolution is a key factor of quantitatively evaluating the quality of magnetic resonance imagery (MRI). Super-resolution (SR) approaches can improve its spatial resolution by reconstructing high-resolution (HR) images from low-resolution (LR...
Fetus Prenatal Diagnosis Magnetic Resonance Imaging Predictive Value of Tests Image Interpretation, Computer-Assisted Humans Databases, Factual Reproducibility of Results Brain Deep Learning Pregnancy Female
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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...
Pregnancy Pregnancy Complications Female Fetal Diseases Adult Stress, Psychological Humans Middle Aged Fetus Electrocardiography Databases, Factual Deep Learning Signal Processing, Computer-Assisted Adolescent
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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...
Diffusion Magnetic Resonance Imaging Motion Infant, Premature Reproducibility of Results Signal-To-Noise Ratio Fetus Deep Learning Humans Gestational Age Image Processing, Computer-Assisted Neural Networks, Computer Anisotropy Infant, Newborn
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