Latest AI and machine learning research in pregnancy for healthcare professionals.
BACKGROUND: This study introduced machine learning approaches to predict newborn's body mass index (...
Ultrasound localization microscopy has enabled super-resolution vascular imaging through precise loc...
BACKGROUND AND OBJECTIVE: The capability of deep learning radiomics (DLR) to extract high-level medi...
Image reconstruction from radio-frequency (RF) data is crucial for ultrafast plane wave ultrasound (...
Significant successes in machine learning approaches to image analysis for various applications have...
The highly complementary information provided by multispectral optoacoustics and pulse-echo ultrasou...
PURPOSE: The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) f...
BACKGROUND: Detailed evaluation of bile duct (BD) is main focus during endoscopic ultrasound (EUS). ...
Preeclampsia (PE) is a maternal disease that causes maternal and child death. Treatment and preventi...
Remarkable advancements in the computational techniques and nanoelectronics have attracted considera...
PURPOSE: Applying machine-learning models to clinical and laboratory features of women with intrahep...
Preterm neonates are highly likely to suffer from ventriculomegaly, a dilation of the Cerebral Ventr...
In fetal neurosonography, aligning two-dimensional (2D) ultrasound scans to their corresponding plan...
Coronary luminal dimensions change during the cardiac cycle. However, contemporary volumetric intrav...
OBJECTIVE: To investigate the performance of the machine learning (ML) model in predicting small-for...
Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of ...
Biohybrid robotics is a field in which biological entities are combined with artificial materials in...
INTRODUCTION: Preeclampsia (PE) is one of the major causes of maternal and fetal morbidity and morta...
Deep neural networks exhibit limited generalizability across images with different entangled domain ...
Accurate medical image segmentation is essential for diagnosis and treatment planning of diseases. C...
BACKGROUND: Birthweight is an important indicator during the fetal development process to protect th...