Latest AI and machine learning research in pregnancy for healthcare professionals.
The integration of artificial intelligence (AI) into radiotherapy has advanced significantly during ...
The discovery of circulating fetal and tumor cell-free DNA (cfDNA) molecules in plasma has opened up...
Accurate measurement of frontomaxillary facial (FMF) angles in prenatal ultrasound (US) scans plays ...
BACKGROUND: Antenatal depression (AND), occurring during pregnancy, is associated with severe outcom...
Vulnerable atherosclerotic plaque is a type of plaque that poses a significant risk of high mortalit...
OBJECTIVE: The first objective is to develop a nuchal thickness reference chart. The second objectiv...
Fetal echocardiography (ultrasound of the fetal heart) plays a vital role in identifying heart defec...
Prenatal sonographic diagnosis of congenital heart disease (CHD) can lead to improved morbidity and ...
We aimed to develop and evaluate Explainable Artificial Intelligence (XAI) for fetal ultrasound usin...
Ultrasound imaging is widely valued for its safety, non-invasiveness, and real-time capabilities but...
Artificial intelligence (AI) plays a leading role in transmuting the field of healthcare. Numerous a...
Weakly-supervised learning (WSL) methods have gained significant attention in medical image segmenta...
Microrobots are poised to transform biomedicine by enabling precise, noninvasive procedures. However...
Advancements in reproductive technology are now approaching an unprecedented frontier: the pregnancy...
BACKGROUND AND OBJECTIVES: Accurate classification of lymphadenopathy is essential for determining t...
BACKGROUND: This systematic review aims to explore the early predictive value of machine learning (M...
Preeclampsia (PE) is a major pregnancy-specific cardiovascular complication posing latent life-threa...
Given their potential as natural substitutes for artificial additives and their health advantages, t...
This paper introduces a novel method for spleen segmentation in ultrasound images, using a two-phase...
Machine learning (ML) has emerged as a transformative tool in drug delivery, particularly in the des...
In this paper, a two-stage task weakly supervised learning algorithm is proposed. It accurately achi...