Latest AI and machine learning research in pregnancy for healthcare professionals.
Gestational diabetes mellitus (GDM), a heritable metabolic disorder and the most common pregnancy-re...
Chromosomal aneuploidy, a condition characterized by an abnormal number of chromosomes, is a major g...
Machine learning (ML) applications within diagnostic histopathology have been extremely successful. ...
Physical food outlets are increasingly offering delivery through Online Food Delivery Service (OFDS)...
Fetal MRI provides superior tissue contrast and true 3D spatial information however there is only a ...
Quantification of placental histopathological structures is challenging due to a limited number of p...
Prenatal detection rates for CHD have increased with improved ultrasound technology and imaging, the...
Existing proposed pathogenesis for preeclampsia (PE) was only applied for early-onset PE (EOPE). Our...
Missed appointments represent a double-edged sword in community health settings. Policies designed t...
The coding of semi-structured interview transcripts is a critical step for thematic analysis of qual...
This study aims to develop an accessible, machine learning-derived tool for people with type 1 diabe...
To assess the performance of machine learning (ML) models in predicting gestational diabetes mellitu...
Lung ultrasound (LUS) offers advantages over traditional imaging for diagnosing pulmonary conditions...
This paper re-imagines a world of abundance in the treatment of chronic diseases such as Tpe 2 Diabe...
Dental caries is the most common oral disease worldwide, affecting up to 90% of children globally. I...
Allostatic load refers to the cumulative burden of stress and life events that involve the interacti...
Maternal mental health (MMH) disorders, particularly depression and anxiety, are major public health...
Spontaneous preterm birth (sPTB) remains a significant global health challenge and a leading cause o...
Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial disparities in ...
In recent years, different Convolutional Neural Networks (CNNs) approaches have been applied for ima...
The COVID-19 pandemic exposed many pregnant individuals to SARS-CoV-2. Literature suggests a link be...