Latest AI and machine learning research in pregnancy for healthcare professionals.
OBJECTIVES: To determine the feasibility of a telerobotic approach to remotely perform prenatal sono...
Three-dimensional (3D) fetal neurosonography is used clinically to detect cerebral abnormalities and...
This study aimed to establish normal ultrasonographic reference values of kidney dimensions in donke...
OBJECTIVE: Non-invasive foetal electrocardiography (NI-FECG) has the potential to provide more addit...
Automated literature analysis could significantly speed up understanding of the role of the placenta...
Enhancing drug loading efficacy and stability of polymeric micelles remains a grand challenge. Here ...
PURPOSE: Clinical treatment planning systems for proton therapy currently do not calculate monitor u...
Multifunctional drug carriers have great applications in biomedical field. In this study, we introdu...
PURPOSE: We propose a framework for automatic and accurate detection of steeply inserted needles in ...
OBJECTIVE: To estimate the risk of fetal trisomy 21 (T21) and other chromosomal abnormalities (OCA) ...
PURPOSE: Ultrasound acquisitions are typically affected by deformations due to the pressure applied ...
We investigate the use of deep neural networks (DNNs) for suppressing off-axis scattering in ultraso...
placental perfusion experiments are important in understanding the quantity and mechanisms of xenob...
INTRODUCTION: Recurrent pregnancy loss (RPL) is defined as three or more spontaneous pregnancy losse...
Methods for aligning 3D fetal neurosonography images must be robust to (i) intensity variations, (ii...
A capsule-type microrobot exhibits "pick-and-drop" (P&D) motion to hold a particle within a confined...
Previous research suggested an association between maternal exposure to ambient air pollutants and r...
This paper introduces a computer-aided kidney shape detection method suitable for volumetric (3D) ul...
BACKGROUND: The usage of Artificial Neural Networks (ANNs) for genome-enabled classifications and es...
Ultrasound imaging is one of the most common visualizing tools used by radiologists to identify the ...
OBJECTIVE: To train a generic deep learning software (DLS) to classify breast cancer on ultrasound i...