AIMC Topic: Ultrasonography, Prenatal

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Task model-specific operator skill assessment in routine fetal ultrasound scanning.

International journal of computer assisted radiology and surgery May 12, 2022
PURPOSE: For highly operator-dependent ultrasound scanning, skill assessment approaches evaluate operator competence given available data, such as acquired images and tracked probe movement. Operator skill level can be quantified by the completeness,...
Pregnancy Female Ultrasonography, Prenatal Task Performance and Analysis Humans Neural Networks, Computer Machine Learning
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Deep learning-based plane pose regression in obstetric ultrasound.

International journal of computer assisted radiology and surgery Apr 30, 2022
PURPOSE: In obstetric ultrasound (US) scanning, the learner's ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a major challenge in skill acquisition. We aim to build a US plane local...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Gestational Age Ultrasonography, Prenatal Deep Learning Ultrasonography Pregnancy Female Humans Neural Networks, Computer
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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...
Fetus Female Gestational Age Humans Ultrasonography, Prenatal Biometry Pregnancy Deep Learning
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ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images.

Artificial intelligence in medicine Feb 15, 2022
As an effective way of routine prenatal diagnosis, ultrasound (US) imaging has been widely used recently. Biometrics obtained from the fetal segmentation shed light on fetal health monitoring. However, the segmentation in US images has strict require...
Female Ultrasonography, Prenatal Ultrasonography Image Processing, Computer-Assisted Humans Neural Networks, Computer Pregnancy Semantics
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Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning.

Ultrasound in medicine & biology Jan 19, 2022
Placenta localization from obstetric 2-D ultrasound (US) imaging is unattainable for many pregnant women in low-income countries because of a severe shortage of trained sonographers. To address this problem, we present a method to automatically detec...
Image Processing, Computer-Assisted Placenta Placenta Previa Ultrasonography, Prenatal Deep Learning Ultrasonography Humans Pregnancy Female
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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.
Ultrasonography, Prenatal Gestational Age Congenital Abnormalities Female Reproducibility of Results Humans Adult Artificial Intelligence Prospective Studies Pregnancy
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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...
Humans Machine Learning Pregnancy Female Algorithms Prospective Studies Ultrasonography, Prenatal Cohort Studies Metabolomics ROC Curve Developing Countries Infant, Newborn Asia Africa South of the Sahara Premature Birth Male Neonatal Screening Gestational Age
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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...
Crown-Rump Length Female Ultrasonography, Prenatal Gestational Age Artificial Intelligence Brain Pregnancy Humans
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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).
Female Ultrasonography, Prenatal Prenatal Care Humans Retrospective Studies Pregnancy Pregnancy Trimester, First Infant Gestational Age Fetus Deep Learning Magnetic Resonance Imaging
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Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD.

Scientific reports Mar 25, 2021
To identify newborns at risk of developing ASD and to detect ASD biomarkers early after birth, we compared retrospectively ultrasound and biological measurements of babies diagnosed later with ASD or neurotypical (NT) that are collected routinely dur...
Infant, Newborn Retrospective Studies Humans Risk Assessment Male Pregnancy Adolescent Ultrasonography, Prenatal Machine Learning Female Predictive Value of Tests Autism Spectrum Disorder
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