Latest AI and machine learning research in pregnancy for healthcare professionals.
Persistence of urinary incontinence (UI) after robot-assisted radical prostatectomy (RARP) is a both...
BACKGROUND: Timely and accurate diagnosis of genetic diseases can lead to proper action and preventi...
Ultrasound is one of the most widely utilized imaging tools in clinical practice with the advantages...
The umbilical cord is an organ that circulates oxygen and nutrition from mother to fetus during preg...
A new application of ultrasonography has been emerging in the bone quantitative ultrasound arena in ...
This study aimed to investigate the performance of least-squares support vector machines to predict ...
In this study, we propose a deep learning-based approach to predict Intensity-modulated radiation t...
MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...
Objective To establish an artificial intelligence model based on B-mode thyroid ultrasound images to...
This study analyzed collected social media data from South Korea containing keywords related to "pre...
To develop and validate a useful predictive model for large gestational age (LGA) in pregnancy usin...
Automatic learning algorithms for improving the image quality of diagnostic B-mode ultrasound (US) i...
Automatic breast ultrasound image (BUS) segmentation is still a challenging task due to poor image q...
Ultrasound scanning is essential in several medical diagnostic and therapeutic applications. It is u...
Carotid atherosclerosis is the major cause of ischemic stroke resulting in significant rates of mort...
Ultrasound (US) imaging is a widely used clinical technique that requires extensive training to use ...
Accurate placenta super micro-vessels segmentation is the key to diagnose placental diseases. Howeve...
In this paper, we focus on the issue of rigid medical image registration using deep learning. Under ...
The aim of this work is the preliminary clinical validation and accuracy evaluation of our automatic...
OBJECTIVE: Development of novel informatics methods focused on improving pregnancy outcomes remains ...
Low specificity and operator dependency are the main problems of breast ultrasound (US) screening. W...