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 …

With the advent of artificial intelligence that not only can learn from us but also can
communicate with us in plain language, humans are embarking on a brave new future. The …

Background Artificial intelligence has the potential to dramatically alter health care by
enhancing how we diagnose and treat disease. One promising artificial intelligence model is …

Non-invasive electrocardiography (NI-ECG) has become an indispensable tool for
monitoring fetal and neonatal cardiac activity throughout the stages of pregnancy and …

Providing adequate counseling on mode of delivery after induction of labor (IOL) is of utmost
importance. Various AI algorithms have been developed for this purpose, but rely on …

Objective This study was aimed to test the agreement between a manual and an automatic
technique in measuring fetal brain volume (FBV) from three‐dimensional (3D) fetal head …

Objectives The aim of this study was to evaluate the agreement between visual and
automatic methods in assessing the adequacy of fetal cardiac views obtained during second …

Introduction More than 76,000 women die yearly from preeclampsia and hypertensive
disorders of pregnancy. Early diagnosis and management of preeclampsia can improve …

Objective This study set out to investigate a novel ultrasound parameter using cervical
elastosonography for improving the prediction of spontaneous preterm birth (sPTB) in twin …

Simple Summary This article discusses the potential of deep learning (DL) models in aiding
the diagnosis of endometrial pathologies through hysteroscopic images. While hysteroscopy …