Latest AI and machine learning research in pregnancy for healthcare professionals.
The introduction of endoscopic ultrasound-guided fine-needle aspiration into clinical practice was a...
Nanoscale robotics have the ability that it can productively transform multiple energy sources into ...
Lung ultrasound (LUS) imaging as a point-of-care diagnostic tool for lung pathologies has been prove...
The placenta is the first organ to form and performs the functions of the lung, gut, kidney, and end...
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...
Significant successes in machine learning approaches to image analysis for various applications have...
Image reconstruction from radio-frequency (RF) data is crucial for ultrafast plane wave ultrasound (...
The highly complementary information provided by multispectral optoacoustics and pulse-echo ultrasou...
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...
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...
Accurate medical image segmentation is essential for diagnosis and treatment planning of diseases. C...
Deep neural networks exhibit limited generalizability across images with different entangled domain ...
INTRODUCTION: Preeclampsia (PE) is one of the major causes of maternal and fetal morbidity and morta...