Pregnancy

Dynamic Aware Biopsy Needle Identification in Ultrasound Images Using Temporal Prior Guided U-Net Cross Transformer With Limited Training Data.

OBJECTIVE: Ultrasound-guided needle placement has been commonly used for minimally invasive clinical procedures, including biopsy, regional anesthesia and localized drug administration. This study aimed to enhance existing deep learning frameworks by incorporating a classical background subtraction, which enriches the inductive bias and thereby enables more reliable needle detection even when the ...

Versatile metal-phenolic network structure (MPNs) as advanced delivery platforms for bioactive compounds: The design principles, foundations, applications, and future perspectives.

Despite possessing many important functions, the applications of bioactive compounds (BCs) are significantly limited due to various inherent shortcomings. In recent years, a novel class of materials known as metal-phenolic network structures (MPNs) has emerged. As the application scope of MPNs expands, it has become evident that this network structure can protect encapsulated active substances fro...

Preconception, prenatal and postnatal exposure to gaseous air pollutants (NO2, O3) and neurodevelopmental disorders in children among Medicaid recipients: a national cohort study.

Although numerous etiological factors have been proposed for neurodevelopmental disorders, the contribution of environmental exposures remains insuffi...

Tailored injectable nanocomposite hydrogels for high-performance biomedical applications.

Conventional hydrogel systems for biomedical applications face critical limitations in mechanical robustness, therapeutic functionality, and responsiv...

Artificial intelligence-generated color overlay for ultrasound identification of the brachial plexus in regional anesthesia: an external validation study.

PURPOSE: Accurate identification of neural structures is essential for safe ultrasound-guided regional anesthesia. Although artificial intelligence (A...

Dual-View Thyroid Ultrasound Classification via Dual Knowledge Distillation.

OBJECTIVE: Thyroid ultrasound diagnosis in clinical practice typically relies on both transverse and longitudinal views of the same lesion. However, m...

Multiomics integrative bioinformatics analysis of gene expression characteristics and molecular mechanisms in preeclampsia placental tissue.

Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertension and proteinuria after 20 weeks of gestation, whi...

S2DENet: Shallow suppression and deep enhancement network for general ultrasound image segmentation.

Ultrasound image segmentation serves as a cornerstone of clinical diagnosis, yet remains a formidable challenge due to inherent image artifacts such a...

Cardiopulmonary point-of-care ultrasound for critical care.

Point-of-care ultrasound (POCUS) has emerged as an essential bedside tool for the rapid assessment and management of critically ill patients. This rev...

DIFNet: A Dual-Branch Interactive Fusion Network for Femoral Nerve Segmentation in Ultrasound Images.

Accurate femoral nerve (FN) segmentation in ultrasound images is crucial for nerve blocks but remains challenging due to its tortuous structure, large...

ABUS-ResMask-Net: ABUS Lesion Classification Network Design with ResMask Module and BI-RADS Content-Awareness Auxiliary Tasks.

This study aims to develop a 2.5D deep learning model with shape and margin as auxiliary tasks to improve the diagnostic performance of benign-maligna...

Beyond visual inspection: can a multimodal machine learning model improve the preoperative differentiation of endometrial polyps from non-polypoid endometrial lesions?

OBJECTIVE: To develop a multimodal machine learning model that integrates clinical data and ultrasound features to improve the non‑invasive preoperati...

Combining transvaginal ultrasound radiomics with clinical-ultrasound semantic features for the identification of high-risk endometrial lesions.

OBJECTIVE: Preoperative risk stratification of high-risk endometrial lesions remains a clinical challenge. This study aimed to preliminarily explore a...

Bridging the Vaccine Gap: Scientific and Technological Advances for Diseases Lacking Effective Vaccines.

Despite remarkable achievements in infectious disease control, more than 20 major pathogens responsible for significant global morbidity and mortality...

WFUMB Liver Ultrasound Fusion Imaging Technical Review and Position Statement: Focus on CT/MRI-Based Fusion.

OBJECTIVE: Ultrasound fusion imaging is a hybrid technique that combines real-time ultrasonography (US) with pre-acquired computed tomography (CT) or ...

A combi-elasto ultrasound based deep learning model on liver fibrosis staging for suspected MASLD/MASH patients.

OBJECTIVES: Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) weakened the ...

Interpretable, internally validated prognostic modelling of cumulative clinical pregnancy in women with diminished ovarian reserve.

OBJECTIVE: To develop and internally validate an interpretable prognostic model for cumulative clinical pregnancy in women with diminished ovarian res...

Habitat-based imaging and peritumoral radiomics on ultrasound images for predicting lymphovascular invasion in breast invasive ductal carcinoma: a two-center study.

PURPOSE: This study aimed to evaluate the feasibility of employing habitat-based radiomic distributions in ultrasound (US) images to quantitatively ch...

V2-Former: Towards volumetric framework for instance-level segmentation and prediction of fetal ventriculomegaly in anisotropic MRI.

Accurate identification and assessment of fetal ventriculomegaly (VM) is crucial for prenatal care. However, conventional diagnosis relies on manual 2...

Enhancing ultrasound training for breast cancer diagnosis: a controlled study of AI-assisted learning.

OBJECTIVES: This study aimed to develop and evaluate an AI-assisted teaching platform to enhance diagnostic competency in breast ultrasound. The goal ...