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) can support clinical decisions and provide quality assurance for
images. Although ultrasonography is commonly used in the field of obstetrics and …

The COVID-19 pandemic has changed the way we practice medicine. Cancer patient and
obstetric care landscapes have been distorted. Delaying cancer diagnosis or maternal-fetal …

Brain segmentation is often the first and most critical step in quantitative analysis of the brain
for many clinical applications, including fetal imaging. Different aspects challenge the …

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

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 …

This study reviews recent advances on the application of artificial intelligence for the early
diagnosis of various maternal-fetal conditions such as preterm birth and abnormal fetal …

Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …

The last three years have been a game changer in the way medicine is practiced. The
COVID-19 pandemic changed the obstetrics and gynecology scenery. Pregnancy …

The exponential growth of artificial intelligence (AI) has fascinated its application in various
fields and so in the field of healthcare. Technological advancements in theories and learning …