Latest AI and machine learning research in pregnancy for healthcare professionals.
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...
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...
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...
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...
PURPOSE OF THE REVIEW: Point-of-care ultrasound using small ultrasound devices has expanded beyond e...
BACKGROUND: Gestational diabetes mellitus (GDM) can cause adverse consequences to both mothers and t...
Survivors following very premature birth (i.e., ≤ 32 weeks gestational age) remain at high risk for ...
BACKGROUND: Fetal exposure to maternal smoking during pregnancy is associated with the development o...
Early diagnosis is critical for the prevention and control of the coronavirus disease 2019 (COVID-19...
BACKGROUND AND PURPOSE: Transcranial MR imaging-guided focused ultrasound is a promising novel techn...
MRI-based brain age prediction has been widely used to characterize normal brain development, and de...
In ultrasound B-mode imaging, speckle noises decrease the accuracy of estimation of tissue echogenic...
Quantitative assessment of proliferation can be an important endpoint in toxicologic pathology. Trad...