Latest AI and machine learning research in pregnancy for healthcare professionals.
Natural polymers provide a better alternative to synthetic polymers in the domain of drug delivery s...
There is increasing evidence that patient heterogeneity significantly hinders advancement in clinica...
BACKGROUND AND AIMS: Brachial plexus is in a very compact state at the costoclavicular space (CCS) w...
fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceiv...
IMPORTANCE: The current understanding of epidemiological mechanisms and temporal trends in hospitali...
Identification of burn depth with sufficient accuracy is a challenging problem. This paper presents ...
IMPORTANCE: The opioid crisis has increasingly affected pregnant people and infants. Hepatitis C vir...
OBJECTIVE: To explore the image enhancement model based on deep learning on the effect of ureterosco...
OBJECTIVE: To predict risk of pre-eclampsia (PE) in women using machine learning (ML) algorithms, ba...
Ultrasound imaging has been developed for image-guided radiotherapy for tumor tracking, and the flex...
The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task ...
We 3D print micro-robotic swimmers with the size of animal cells using a Nanoscribe. The micro-swimm...
 The objective of the study was to review the obstetric outcomes of complete hydatidiform molar pre...
Accurate 3-D geometries of arteries and veins are important clinical data for diagnosis of arterial ...
Super-resolution ultrasound (SR-US) imaging allows visualization of microvascular structures as smal...
OBJECTIVE: To develop a collision engine (haptic force feedback simulator) compatible with a 5-degre...
PURPOSE: Robot-assisted needle insertion guided by 2D ultrasound (US) can effectively improve the ac...
Deep learning is a powerful tool that became practical in 2008, harnessing the power of Graphic Proc...
Microrobots have attracted considerable attention due to their extensive applications in microobject...
OBJECTIVE: Advances in artificial intelligence (AI) have demonstrated potential to improve medical d...
OBJECTIVE: To study the impact of artificial intelligence (AI) on the performance of mammogram with ...