Latest AI and machine learning research in pregnancy for healthcare professionals.
Diabetes represents an emerging global health crisis, with lower-middle-income countries experiencin...
Although the Safe Motherhood Initiative is currently a global priority, the implications of maternal...
Fetal MRI is increasingly being employed in the diagnosis of fetal lung anomalies and segmentation-d...
Despite policy support, inappropriate use of emergency contraception (EC) in Ethiopia contributes to...
One of the most difficult challenges in pediatric telemedicine is to accurately discriminate between...
The privacy protection of medical patients has remained a critical concern in healthcare information...
While maternal education is linked to antenatal care (ANC) use, its causal effect remains uncertain....
Preterm birth, defined as birth occurring before 37 weeks of gestation, poses a significant and endu...
Artificial intelligence (AI) has potentially shown promise in interpreting ultrasound imaging throug...
Diagnosis coding is essential for clinical care, research validity, and hospital reimbursement. In n...
Postpartum hemorrhage (PPH) is a major cause of maternal morbidity and mortality. Timely prediction ...
Breast cancer is one of the most common cancers globally. Its incidence in Africa has increased shar...
Zidovudine (AZT), a key antiretroviral drug used for HIV treatment and preventing mother-to-child tr...
Multifetal pregnancies are associated with increased risk for preeclampsia (PreE), but the underlyin...
Fetal MRI offers detailed three-dimensional visualisation of both fetal and maternal pelvic anatomy,...
Breast cancer is a leading malignancy threatening women’s health globally, making early and accurate...
Accurate diagnosis of obstetric anal sphincter injuries (OASIs) is critical for timely repair and pr...
To identify post-marketing adverse event (AE) signals associated with isotretinoin using real-world ...
This study aims to enhance breast cancer diagnosis by developing an automated deep learning framewor...
Early detection of childhood mental health disorders remains challenging due to gaps in current scre...
This scoping review explores how predictive modelling can strengthen pre-exposure prophylaxis (PrEP)...