Latest AI and machine learning research in pregnancy for healthcare professionals.
IMPORTANCE: Congenital adrenal hyperplasia (CAH) is the most common primary adrenal insufficiency in...
INTRODUCTION: Predicting a woman's probability of vaginal birth after cesarean could facilitate the ...
Antenatal screening for beta thalassemia trait (BTT) followed by counseling of couples is an efficie...
PURPOSE: To develop, and evaluate the performance of, a deep learning-based three-dimensional (3D) c...
BACKGROUND: Endobronchial ultrasound-guided transbronchial needle injection (EBUS-TBNI) is a novel t...
Accurate breast mass segmentation of automated breast ultrasound (ABUS) is a great help to breast ca...
An increasing number of delivering women experience major morbidity and mortality. Limited work has ...
INTRODUCTION: Obstetrical ultrasound imaging is critical in identifying at-risk pregnancies and info...
PURPOSE: In medical image analysis, deep learning has great application potential. Discovering a met...
Autonomous analysis of plants, such as for phenotyping and health monitoring etc., often requires th...
PURPOSE: Ultrasound image segmentation is a challenging task due to a low signal-to-noise ratio and ...
BACKGROUND: Multiparametric (mp) magnetic resonance imaging (MRI)-ultrasound fusion-targeted biopsy ...
Access to sonographers and sonologists is limited in many communities around the world. Telerobotic ...
Multi-needle localization in ultrasound (US) images is a crucial step of treatment planning for US-g...
Left ventricular ejection fraction (LVEF) is the most important parameter in the assessment of cardi...
Instrument segmentation plays a vital role in 3D ultrasound (US) guided cardiac intervention. Effici...
PURPOSE: The main purpose of this study is to construct a system to track the tumor position during ...
BACKGROUND: The classification of Breast Imaging Reporting and Data System 4A (BI-RADS 4A) lesions i...
We developed a generative adversarial network (GAN)-based deep learning approach to estimate the mul...
The use of machine learning and other sophisticated models to aid in prediction and decision making ...
BACKGROUND: Current copy number variation (CNV) identification methods have rapidly become mature. H...