Latest AI and machine learning research in pregnancy for healthcare professionals.
OBJECTIVE: To develop an advanced deep learning model for accurate differentiation between benign an...
Developmental dysplasia of the hip (DDH) includes a range of conditions caused by inadequate hip joi...
Our aim is to evaluate the association of prenatal exposure to per- and polyfluoroalkyl substances (...
BACKGROUND: Acute pancreatitis (AP) is a severe inflammatory disease frequently accompanied by distu...
Multiparametric MRI (mpMRI) has become an essential tool in the detection of prostate cancer (PCa) a...
Maternal mental health during pregnancy is a crucial area of research due to its profound impact on ...
BACKGROUND: In many low- and middle-income countries (LMICs), widespread access to obstetric ultraso...
Ultrasound imaging provides real-time views of internal organs, which are essential for accurate dia...
Free radical-mediated oxidative damage to biological macromolecules, such as DNA and proteins, signi...
In general, deficient birth weight neonates suffer from hypoglycemia, and this can be quite disadvan...
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...
Early infant crying provides critical insights into neurodevelopment, with atypical acoustic feature...
OBJECTIVE: To assess the methodological quality and the risk of bias, of studies that developed pred...
Optimising healthcare is linked to broadening access to health literacy in Low- and Middle-Income Co...
A combined methodology was performed based on chemometrics and machine learning regressive models in...
Research uses both RANSAC Regressor and Monte Carlo Optimization to improve the performance of elect...
OBJECTIVE: Preeclampsia (PE) is a multifactorial systemic pregnancy disease, in which iron metabolis...
OBJECTIVE: To evaluate the responses of large language models (LLMs) to prenatal screening questions...
BACKGROUND: Since the discovery of the life-saving hormone insulin in 1921 by Dr Frederick Banting i...
This study aimed to develop and validate convolutional neural network (CNN) models for distinguishin...
OBJECTIVE: Subacromial impingement syndrome (SIS) frequently causes shoulder pain. This study aimed ...