AIMC Topic: Crown-Rump Length
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Deep Learning for Nuchal Translucency-Based Screening for Fetal Trisomy 21.
JAMA network open
Jun 1, 2022
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...
First Trimester Noninvasive Prenatal Diagnosis: A Computational Intelligence Approach.
IEEE journal of biomedical and health informatics
Jul 29, 2015
The objective of this study is to examine the potential value of using machine learning techniques such as artificial neural network (ANN) schemes for the noninvasive estimation, at 11-13 weeks of gestation, the risk for euploidy, trisomy 21 (T21), a...
Learning-based prediction of gestational age from ultrasound images of the fetal brain.
Medical image analysis
Jan 3, 2015
We propose an automated framework for predicting gestational age (GA) and neurodevelopmental maturation of a fetus based on 3D ultrasound (US) brain image appearance. Our method capitalizes on age-related sonographic image patterns in conjunction wit...
Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps.
JAMA
Aug 27, 2024
IMPORTANCE: Accurate assessment of gestational age (GA) is essential to good pregnancy care but often requires ultrasonography, which may not be available in low-resource settings. This study developed a deep learning artificial intelligence (AI) mod...
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