Artificial intelligence (AI) can support clinical decisions and provide quality assurance for
images. Although ultrasonography is commonly used in the field of obstetrics and …

Objective New tools are required to improve the identification of women who are at
increased risk for spontaneous preterm birth (sPTB). Quantitative analysis of tissue texture …

Background Short cervical length (CL) has not been shown to be adequate as a single
predictor of spontaneous preterm birth (sPTB) in high-risk pregnancies. Objective The …

Preterm birth (PTB) is the leading cause of neonatal morbidity and mortality worldwide. The
ability to predict patients at risk for preterm birth remains a major health challenge. The …

Aim To assess the reproducibility of a semiautomatic quantification tool for cervical stiffness
and evaluate the normal changes in cervical elasticity during the three trimesters of …

Purpose The evaluation of fetal lung maturity is critical for clinical practice since the lung
immaturity is an important cause of neonatal morbidity and mortality. For the evaluation of …

Objective: To develop a model combining clinical and sonographic features to predict the
risk of cesarean delivery after the induction of labor (IOL). Methods: We designed a …

Objectives To compare the robustness of several methods based on quantitative ultrasound
(US) texture analysis to evaluate its feasibility for extracting features from US images to use …

Improving Ultrasound Detection of Uterine Adenomyosis Throug... : Ultrasound Quarterly
Improving Ultrasound Detection of Uterine Adenomyosis Through Computational Texture …

Background In a normal pregnancy, cervical collagen fibers remain organized in predictable
patterns throughout most of the gestation. Cervical remodeling reflects a rearrangement of …