Pregnancy

Random forest algorithm for predicting tobacco use and identifying determinants among pregnant women in 26 sub-Saharan African countries: a 2024 analysis.

INTRODUCTION: Tobacco use during pregnancy is a significant public health concern, associated with a...

EfficientNet-Based Attention Residual U-Net With Guided Loss for Breast Tumor Segmentation in Ultrasound Images.

OBJECTIVE: Breast cancer poses a major health concern for women globally. Effective segmentation of ...

Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and motility rhythm via bedside ultrasound: a pilot study.

The cross-sectional area (CSA) of the gastric antrum and its motility rhythm reflects the gastrointe...

Advancing Single-Plane Wave Ultrasound Imaging With Implicit Multiangle Acoustic Synthesis via Deep Learning.

Plane wave imaging (PWI) is pivotal in medical ultrasound (US), prized for its ultrafast capabilitie...

Tissue Clutter Filtering Methods in Ultrasound Localization Microscopy Based on Complex-Valued Networks and Knowledge Distillation.

Ultrasound localization microscopy (ULM) is a blood flow imaging technique that utilizes micrometer-...

MM-UKAN++: A Novel Kolmogorov-Arnold Network-Based U-Shaped Network for Ultrasound Image Segmentation.

Ultrasound (US) imaging is an important and commonly used medical imaging modality. Accurate and fas...

Waveform-Specific Performance of Deep Learning-Based Super-Resolution for Ultrasound Contrast Imaging.

Resolving arterial flows is essential for understanding cardiovascular pathologies, improving diagno...

Combining Ultrasound Imaging and Molecular Testing in a Multimodal Deep Learning Model for Risk Stratification of Indeterminate Thyroid Nodules.

Indeterminate cytology (Bethesda III and IV) represents 15-30% of biopsied thyroid nodules and requ...

Intrapartum electronic fetal monitoring and artificial intelligence: a worthwhile endeavor.

ULK2 deficiency stratifies autophagy-driven molecular subtypes and exacerbates trophoblasts apoptosis in preeclampsia.

INTRODUCTION: Preeclampsia (PE), a placenta-originated hypertensive disorder of pregnancy, lacks tar...

Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis.

BACKGROUND: Breast density, as derived from mammographic images and defined by the Breast Imaging Re...

Deep learning model based on ultrasound images predicts BRAF V600E mutation in papillary thyroid carcinoma.

BRAF V600E mutation status detection facilitates prognosis prediction in papillary thyroid carcinoma...

An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer.

IntroductionTumor-infiltrating lymphocytes (TILs) are key indicators of immune response and prognosi...

Artificial intelligence based automatic classification, annotation, and measurement of the fetal heart using HeartAssist.

This study evaluated the feasibility of HeartAssist, a novel automated tool designed for classificat...

Sonopermeation combined with stroma normalization enables complete cure using nano-immunotherapy in murine breast tumors.

Nano-immunotherapy shows great promise in improving patient outcomes, as seen in advanced triple-neg...

Corrigendum to "Prediction of BRAF and TERT status in PTCs by machine learning-based ultrasound radiomics methods: A multicenter study" [J. Clin. Translat. Endocrinol. 40 (2025) 100390].

[This corrects the article DOI: 10.1016/j.jcte.2025.100390.].

Ultrasound-activated piezoelectric biomaterials for cartilage regeneration.

Due to the low density of chondrocytes and limited ability to repair damaged extracellular matrix (E...

Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening.

BACKGROUND: Circulating cell-free RNA (cfRNA) is gaining recognition as an effective biomarker for t...

Recent advances in cutaneous drug delivery by iontophoresis.

INTRODUCTION: Iontophoresis has been extensively studied for topical and transdermal drug delivery t...

Advancing ocular gene therapy: a machine learning approach to enhance delivery, uptake and gene expression.

Ocular gene therapy offers a promising approach for treating various eye diseases, centered on the p...

Multifaceted profiling of virus-specific CD8 T cells reveals distinct immune signatures against cytomegalovirus infection states during pregnancy.

Anti-cytomegalovirus (CMV) serological testing, including the IgG avidity index (AI), is used to ass...