Ultrasound (US) has become one of the most commonly performed imaging modalities in
clinical practice. It is a rapidly evolving technology with certain advantages and with unique …

Deep learning has rapidly advanced in various fields within the past few years and has
recently gained particular attention in the radiology community. This article provides an …

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 ultrasound imaging is one of the most common schemes to detect diseases in the
clinical practice. There are many advantages of ultrasound imaging such as safety …

In fetal cardiology, imaging (especially echocardiography) has demonstrated to help in the
diagnosis and monitoring of fetuses with a compromised cardiovascular system potentially …

Objectives To evaluate the feasibility of using deep‐learning algorithms to classify as normal
or abnormal sonographic images of the fetal brain obtained in standard axial planes …

We present the first system that provides real-time probe movement guidance for acquiring
standard planes in routine freehand obstetric ultrasound scanning. Such a system can …

Background and objective Examination of head shape and brain during the fetal period is
paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal …

Ultrasound (US) is a flexible imaging modality used globally as a first-line medical exam
procedure in many different clinical cases. It benefits from the continued evolution of …

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