Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
OBJECTIVE: The aim of this study is to assess the use of machine learning methodologies in the diagn...
RESEARCH QUESTION: Can machine learning tools predict the number of metaphase II (MII) oocytes and t...
BACKGROUND: Machine learning (ML) is extensively employed for forecasting the outcome of various ill...
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, ...
OBJECTIVES: This study aimed to investigate the influence of baseline sarcopenia and changes in body...
The identification of miRNA-disease associations is crucial for early disease prevention and treatme...
STUDY DESIGN: This is a retrospective cohort study utilizing machine learning to predict postoperati...
OBJECTIVE:  Distinguishing between medically indicated induction of labor (iIOL) and elective induct...
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...
In cancer research, oncogenesis can be affected by modulating the deubiquitination pathway. Ubiquiti...
Recently, various modern experimental screening pipelines and assays have been developed to find pro...
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...
Cambodia has made progress in reducing the under-five mortality rate and burden of infectious diseas...
Clinical informatics, which combines health information technology and clinical expertise, aims to i...
The increasing prominence of biologics in the pharmaceutical market requires more advanced delivery ...
A double-check process helps prevent errors and ensures quality control. However, it may lead to dec...
This study aims to develop a super-resolution (SR) algorithm tailored specifically for enhancing the...