Results 101 to 110 of about 2,476,919 (362)

Deep Sequence Learning for Accurate Gestational Age Estimation from a $\$$25 Doppler Device [PDF]

arXiv, 2020
Assessing fetal development is usually carried out by techniques such as ultrasound imaging, which is generally unavailable in rural areas due to the high cost, maintenance, skills and training needed to operate the devices effectively. In this work, we propose a low-cost one-dimensional Doppler-based method for estimating gestational age (GA). Doppler
arxiv  

FUSQA: Fetal Ultrasound Segmentation Quality Assessment [PDF]

arXiv, 2023
Deep learning models have been effective for various fetal ultrasound segmentation tasks. However, generalization to new unseen data has raised questions about their effectiveness for clinical adoption. Normally, a transition to new unseen data requires time-consuming and costly quality assurance processes to validate the segmentation performance post ...
arxiv  

Maternal nutritional status mediates the association between maternal age and birth outcomes [PDF]

, 2020
Young maternal age during pregnancy is linked with adverse birth outcomes. This study examined the role of maternal nutritional status in the association between maternal age and small for gestational age (SGA) delivery and birth length.
Argaw, Alemayehu, Belachew, Tefera, Bushra, Abdulhalik Workicho, Ghosh, Shibani, Kershaw, Meghan, Kolsteren, Patrick, Lachat, Carl, Roba, Alemzewed   +7 more
core   +2 more sources

Bivariate Analysis of Birth Weight and Gestational Age Depending on Environmental Exposures: Bayesian Distributional Regression with Copulas [PDF]

arXiv, 2021
In this article, we analyze perinatal data with birth weight (BW) as primarily interesting response variable. Gestational age (GA) is usually an important covariate and included in polynomial form. However, in opposition to this univariate regression, bivariate modeling of BW and GA is recommended to distinguish effects on each, on both, and between ...
arxiv  

Small for gestational age and obesity related comorbidities [PDF]

Annals of Pediatric Endocrinology & Metabolism, 2018
Infant born small for gestational age (SGA) are at increased risk of perinatal morbidity, persistent short stature and metabolic alterations in later life. The result of SGA followed by rapid weight gain during early postnatal life has been associated with increased long-term risks for central obesity, insulin resistance, impaired glucose tolerance ...
Yong Hee Hong, Sochung Chung
openaire   +4 more sources

Is induced abortion a risk factor in subsequent pregnancy? [PDF]

, 2009
Objective: To determine whether a history of terminations of pregnancy influences subsequent pregnancies in terms of pregnancy risks, prematurity and neonatal biometrics.
Briese, Volker, Friese, Klaus, Henrich, Wolfgang, Straube, Sebastian, Voigt, Manfred, Zygmunt, Marek   +5 more
core   +1 more source

Sex differences in body composition in youth with type 1 diabetes and its predictive value in cardiovascular disease risk assessment

Diabetes/Metabolism Research and Reviews, Volume 39, Issue 1, January 2023., 2023
Abstract Background Women with type 1 diabetes (T1D) are more susceptible than men to cardiovascular disease (CVD). Signs of increased risk may already appear among adolescent girls. Objectives We explored the contribution of body composition to the development of CVD risk factors among youth with T1D.
Avivit Brener, Sandy Hamama, Hagar Interator, Asaf Ben Simon, Irina Laurian, Anna Dorfman, Efrat Chorna, Michal Yackobovitch‐Gavan, Asaf Oren, Ori Eyal, Yael Lebenthal   +10 more
wiley   +1 more source

International versus national growth charts for identifying small and large-for-gestational age newborns: A population-based study in 15 European countries

The Lancet Regional Health. Europe, 2021
Background: To inform the on-going debate about the use of universal prescriptive versus national intrauterine growth charts, we compared perinatal mortality for small and large-for-gestational-age (SGA/LGA) infants according to international and ...
Alice Hocquette, MSc, Mélanie Durox, MSc, Rachael Wood, PhD, Kari Klungsøyr, MD, Katarzyna Szamotulska, PhD, Sylvan Berrut, MSc, Tonia Rihs, PhD, Theopisti Kyprianou, Luule Sakkeus, PhD, Aline Lecomte, MSc, Irisa Zile, PhD, Sophie Alexander, PhD, Jeannette Klimont, Mag, Henrique Barros, PhD, Miriam Gatt, Jelena Isakova, Béatrice Blondel, PhD, Mika Gissler, PhD, Jennifer Zeitlin, DSc   +18 more
doaj  

Differential classification of infants in United States neonatal intensive care units for weight, length, and head circumference by United States and international growth curves

Annals of Human Biology, 2020
Background Clinicians and researchers use a variety of intrauterine growth curves to classify NICU infants as small (SGA), appropriate (AGA), or large for gestational age (LGA).
A. Nicole Ferguson, Irene E. Olsen, Reese H. Clark, Bryan D. Yockey, Jonathan Boardman, Kyle Biron, Cooper Jannuzzo, Daniel Waskiewicz, Amanda Mendoza, M. Louise Lawson   +9 more
doaj   +1 more source

Deep Learning with Attention to Predict Gestational Age of the Fetal Brain [PDF]

arXiv, 2018
Fetal brain imaging is a cornerstone of prenatal screening and early diagnosis of congenital anomalies. Knowledge of fetal gestational age is the key to the accurate assessment of brain development. This study develops an attention-based deep learning model to predict gestational age of the fetal brain.
arxiv