Latest AI and machine learning research in pregnancy for healthcare professionals.
BACKGROUND/AIM: Titanium dioxide nanoparticles are widely used in a variety of products, including s...
Artificial intelligence (AI) has begun to affect nearly every aspect of our daily lives and nearly e...
Successful ultrasound-guided supraclavicular block (SCB) requires the understanding of sonoanatomy a...
BACKGROUND: Fetal weight is currently estimated from fetal biometry parameters using heuristic mathe...
Three-quarters of lifetime mental illness occurs by the age of 24, but relatively little is known ab...
Compared to magnetic resonance imaging (MRI) and X-ray computed tomography (CT), ultrasound imaging ...
Automation and artificial intelligence (AI) is already possible for many radiation therapy planning ...
OBJECTIVE: Fetal anomaly screening via ultrasonography, which involves capturing and interpreting st...
PURPOSE: The development of cardiovascular interventional surgery robots can realize master-slave in...
Addition of a denoising filter step in ultrasound localization microscopy (ULM)Â has been shown to ef...
BACKGROUND: Artificial intelligence (AI) has the potential to improve prenatal detection of congenit...
This scoping review examines the emerging field of synthetic ultrasound generation using machine lea...
Adverse delivery outcomes is a major re-productive health problem that affects the physical and ment...
The despeckling of ultrasound images contributes to the enhancement of image quality and facilitates...
Using a machine learning methods, we aim to find biological effect biomarkers of prenatal arsenic ex...
Deep convolutional neural networks (DCNNs) have demonstrated promising performance in classifying br...
The incidence of diabetes mellitus has been increasing, prompting the search for non-invasive diagno...
Accurate measurement of blood flow velocity is important for the prevention and early diagnosis of a...
This study aimed to predict Blackbelly sheep carcass tissue composition using ultrasound measurement...
OBJECTIVE: The goal of the work described here was to develop and assess a deep learning-based model...
Preterm infants are a highly vulnerable population. The total brain volume (TBV) of these infants ca...