AIMC Topic: Gestational Age
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Deep Learning to Optimize Magnetic Resonance Imaging Prediction of Motor Outcomes After Hypoxic-Ischemic Encephalopathy.
Pediatric neurology
Sep 7, 2023
BACKGROUND: Magnetic resonance imaging (MRI) is the gold standard for outcome prediction after hypoxic-ischemic encephalopathy (HIE). Published scoring systems contain duplicative or conflicting elements.
Deep learning-based segmentation of whole-body fetal MRI and fetal weight estimation: assessing performance, repeatability, and reproducibility.
European radiology
Sep 2, 2023
OBJECTIVES: To develop a deep-learning method for whole-body fetal segmentation based on MRI; to assess the method's repeatability, reproducibility, and accuracy; to create an MRI-based normal fetal weight growth chart; and to assess the sensitivity ...
Infant death prediction using machine learning: A population-based retrospective study.
Computers in biology and medicine
Sep 1, 2023
BACKGROUND: Despite declines in infant death rates in recent decades in the United States, the national goal of reducing infant death has not been reached. This study aims to predict infant death using machine-learning approaches.
Combining deep learning and intelligent biometry to extract ultrasound standard planes and assess early gestational weeks.
European radiology
Jul 1, 2023
OBJECTIVES: To develop and validate a fully automated AI system to extract standard planes, assess early gestational weeks, and compare the performance of the developed system to sonographers.
Machine learning to improve false-positive results in the Dutch newborn screening for congenital hypothyroidism.
Clinical biochemistry
Mar 4, 2023
OBJECTIVE: The Dutch Congenital hypothyroidism (CH) Newborn Screening (NBS) algorithm for thyroidal and central congenital hypothyroidism (CH-T and CH-C, respectively) is primarily based on determination of thyroxine (T4) concentrations in dried bloo...
Artificial intelligence and fetal ultrasound biometry: Challenges and perspectives.
Diagnostic and interventional imaging
Feb 15, 2023
Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity.
Eye (London, England)
Feb 1, 2023
Response to: 'Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity'.
Eye (London, England)
Jan 21, 2023
Development of a Machine Learning Model for Sonographic Assessment of Gestational Age.
JAMA network open
Jan 3, 2023
IMPORTANCE: Fetal ultrasonography is essential for confirmation of gestational age (GA), and accurate GA assessment is important for providing appropriate care throughout pregnancy and for identifying complications, including fetal growth disorders. ...
Development of Gestational Age-Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning.
AJNR. American journal of neuroradiology
Dec 22, 2022
BACKGROUND AND PURPOSE: Fetal brain MR imaging interpretations are subjective and require subspecialty expertise. We aimed to develop a deep learning algorithm for automatically measuring intracranial and brain volumes of fetal brain MRIs across gest...
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