Latest AI and machine learning research in pregnancy for healthcare professionals.
PURPOSE: This study aims to assess the diagnostic efficacy of Korean Thyroid imaging reporting and d...
AIM: The aim of the study was to develop machine learning algorithms (MLA) for diagnosing acute graf...
PURPOSE: Mucinous breast carcinoma (MBC) tends to be misdiagnosed as fibroadenomas (FA) due to its b...
BACKGROUND: Fetal growth restriction (FGR) occurs in 10% of pregnancies worldwide. Placenta dysfunct...
It has been recognized that oxidative stress (OS) is implicated in the etiology of recurrent pregnan...
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...
OBJECTIVES: Cerebral ultrasound (CUS) is the main imaging screening tool in preterm infants. The aim...
Lycopene is a carotenoid highly valuable to the food, pharmaceutical, dye, and cosmetic industries, ...
The current study devises an optimized ethanolic extraction for efficient recovery of high-value com...
OBJECTIVE:  Distinguishing between medically indicated induction of labor (iIOL) and elective induct...
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillar...
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...
Multi-task learning (MTL) methods are widely applied in breast imaging for lesion area perception an...
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...
This study was conducted to develop and validate a deep learning model for delineating intravascular...
BACKGROUND AND OBJECTIVES: Severe pneumonia is the leading cause of death among young children world...