Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

The objective is to summarize the current use of artificial intelligence (AI) in obstetric
ultrasound. PubMed, Cochrane Library, and ClinicalTrials. gov databases were searched …

Importance Fetal ultrasonography is essential for confirmation of gestational age (GA), and
accurate GA assessment is important for providing appropriate care throughout pregnancy …

Ultrasound based estimation of fetal biometry is extensively used to diagnose prenatal
abnormalities and to monitor fetal growth, for which accurate segmentation of the fetal …

Objective. This work investigates the use of deep convolutional neural networks (CNN) to
automatically perform measurements of fetal body parts, including head circumference …

BACKGROUND Fetal weight is currently estimated from fetal biometry parameters using
heuristic mathematical formulas. Fetal biometry requires measurements of the fetal head …

Shortcut learning is a phenomenon where machine learning models prioritize learning
simple, potentially misleading cues from data that do not generalize well beyond the training …

Deep learning is considered the leading artificial intelligence tool in image analysis in
general. Deep‐learning algorithms excel at image recognition, which makes them valuable …

Predicting fetal weight at birth is an important aspect of perinatal care, particularly in the
context of antenatal management, which includes the planned timing and the mode of …

Necrotising enterocolitis (NEC) is one of the most common diseases in neonates and
predominantly affects premature or very-low-birth-weight infants. Diagnosis is difficult and …