Latest AI and machine learning research in pregnancy for healthcare professionals.
Maternal health risks can cause a range of complications for women during pregnancy. High blood pres...
INTRODUCTION: Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) for lung cancer ...
Since the coronavirus pandemic, mRNA vaccines have revolutionized the field of vaccinology. Lipid na...
Lipidic mesophase drug carriers have demonstrated the capacity to host and effectively deliver a wid...
Biomaterials often have subtle properties that ultimately drive their bespoke performance. Given thi...
Care ethics has been advanced as a suitable framework for evaluating the ethical significance of ass...
The pioneering work on liposomes in the 1960s and subsequent research in controlled drug release sys...
We investigate the predictive value of a comprehensive model based on preoperative ultrasound radiom...
INTRODUCTION: Undetected high-risk conditions in pregnancy are a leading cause of perinatal mortalit...
Nocturnal enuresis is a bothersome condition that affects many children and their caregivers. Post-v...
BACKGROUND: In clinical anesthesia, precise segmentation of muscle layers from abdominal ultrasound ...
BACKGROUND: Fetal growth restriction (FGR) occurs in 10% of pregnancies worldwide. Placenta dysfunct...
Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This open-label, ...
BACKGROUND: We aimed to determine the best-performing machine learning (ML)-based algorithm for pred...
OBJECTIVE:  Distinguishing between medically indicated induction of labor (iIOL) and elective induct...
The primary purpose of high-intensity focused ultrasound (HIFU), a non-invasive medical therapy, is ...
PURPOSE: With the rapid advancement of time-lapse culture and artificial intelligence (AI) technolog...
BACKGROUND: This study aimed to predict early adolescent sleep problems using pregnancy and childbir...
The informal settlements of Nairobi have higher neonatal and infant mortality rates than the average...
Nano-based drug delivery systems (DDSs) have demonstrated the ability to address challenges posed by...
This study aims to develop sorafenib-loaded self-assembled nanoparticles (SFB-SANPs) using the combi...