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 …

Artificial intelligence (AI) has gained prominence in medical imaging, particularly in
obstetrics and gynecology (OB/GYN), where ultrasound (US) is the preferred method. It is …

Over the past decade, deep-learning (DL) algorithms have become a promising tool to aid
clinicians in identifying fetal head standard planes (FHSPs) during ultrasound (US) …

The detailed sonographic assessment of the fetal neuroanatomy plays a crucial role in
prenatal diagnosis, providing valuable insights into timely, well-coordinated fetal brain …

Artificial neural networks show considerable promise in ultrasound imaging, with their use
enabling improved speed and accuracy of diagnosis. This was the main theme of the 2020 …

Objective Fetal anomaly screening via ultrasonography, which involves capturing and
interpreting standard views, is highly challenging for inexperienced operators. We aimed to …

Medical imaging is important to healthcare because it can be used for early illness
diagnosis, staging, and management, as well as for choosing the most appropriate treatment …

As the Social Media Editor of the Journal of Ultrasound in Obstetrics and Gynecology, I write
to shed light on an emerging concern regarding the use of artificial intelligence (AI) in …