Artificial intelligence as a new answer to old challenges in maternal-fetal medicine and obstetrics
E Medjedovic, M Stanojevic… - … and Health Care, 2023 - content.iospress.com
22 BACKGROUND: Following the latest trends in the development of artificial intelligence
(AI), the possibility of processing 23 an immense amount of data has created a breakthrough …
(AI), the possibility of processing 23 an immense amount of data has created a breakthrough …
[HTML][HTML] An open dataset with electrohysterogram records of pregnancies ending in induced and cesarean section delivery
F Jager - Scientific Data, 2023 - nature.com
The existing non-invasive automated preterm birth prediction methods rely on the use of
uterine electrohysterogram (EHG) records coming from spontaneous preterm and term …
uterine electrohysterogram (EHG) records coming from spontaneous preterm and term …
[HTML][HTML] Automatic semantic segmentation of EHG recordings by deep learning: An approach to a screening tool for use in clinical practice
F Nieto-del-Amor, Y Ye-Lin, R Monfort-Ortiz… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective Preterm delivery is an important factor in the disease
burden of the newborn and infants worldwide. Electrohysterography (EHG) has become a …
burden of the newborn and infants worldwide. Electrohysterography (EHG) has become a …
[HTML][HTML] Predicting risk of preterm birth in singleton pregnancies using machine learning algorithms
QY Yu, Y Lin, YR Zhou, XJ Yang, J Hemelaar - Frontiers in big Data, 2024 - frontiersin.org
We aimed to develop, train, and validate machine learning models for predicting preterm
birth (< 37 weeks' gestation) in singleton pregnancies at different gestational intervals …
birth (< 37 weeks' gestation) in singleton pregnancies at different gestational intervals …
Estimating uterine activity from electrohysterogram measurements via statistical tensor decomposition
U Goldsztejn, A Nehorai - Biomedical Signal Processing and Control, 2023 - Elsevier
Complications during pregnancy and labor are common and can be especially detrimental
in populations with limited access to healthcare. A promising technology to address these …
in populations with limited access to healthcare. A promising technology to address these …
ANALYSIS OF ELECTROHYSTEROGRAM SIGNALS AND PREDICTION OF PRETERM BIRTHS USING MACHINE LEARNING
D Raghavan, HH Adithya, S Raghuram… - Biomedical …, 2023 - World Scientific
The World Health Organization (WHO) estimates that over 15 million infants are born before
the entire period of pregnancy. Over a million neonatal deaths occurred in 2015 as a result …
the entire period of pregnancy. Over a million neonatal deaths occurred in 2015 as a result …