Artificial intelligence applications have shown success in different medical and health care
domains, and cardiac imaging is no exception. However, some machine learning models …

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

Background: The previous COVID-19 lung diagnosis system lacks both scientific validation
and the role of explainable artificial intelligence (AI) for understanding lesion localization …

Early prenatal screening with an ultrasound (US) can significantly lower newborn mortality
caused by congenital heart diseases (CHDs). However, the need for expertise in fetal …

Simple Summary For automated cancer diagnosis on medical imaging, explainable artificial
intelligence technology uses advanced image analysis methods like deep learning to make …

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 …

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 …

Endocardial border detection is a key step in assessing left ventricular systolic function in
echocardiography. However, this process is still not sufficiently accurate, and manual …

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 …

Deep learning methods have proven to be effective for multiple diagnostic tasks in medicine
and have been performing significantly better in comparison to other traditional machine …