Pregnancy

Large language models for generating longitudinal synthetic data in low-risk pregnancy care.

This article describes an obstetric dataset covering the full continuum of care of 5000 synthetic low-risk pregnant women, from preconception to post-birth follow-up, generated using a large language model with zero-shot prompting. It includes trimester-specific clinical measurements, such as gestational weight, hemoglobin levels, glucose testing, anemia markers, and body mass index, as well as va...

Digital and Blended Lifestyle Interventions for Preschool-Aged Children and Families With a Low Socioeconomic Position and the General Population: Scoping Review.

BACKGROUND: Many unhealthy habits develop in early childhood and can lead to long-term health risks, which disproportionately affect children with low socioeconomic position (SEP). Digital and blended lifestyle interventions can promote healthier lifestyles, yet families with lower SEP remain underrepresented and face unique barriers to healthy behaviors and intervention access. As a result, it re...

Application of Focused Ultrasound in Alzheimer's Disease: A Bibliometric Analysis.

OBJECTIVE: This study uses bibliometric analysis and knowledge mapping methods to systematically explore the emerging research frontiers and developme...

Deep Multi-Task Attention Network for Automated, Reproducible Quantification of Carotid Plaque Burden in Ultrasound Imaging.

Carotid atherosclerotic plaque burden is a well-established biomarker of cerebrovascular and cardiovascular risk, yet its quantitative assessment from...

Current modeling approaches for drug delivery to the central nervous system.

Central nervous system (CNS) disorders pose a major global health challenge, yet therapeutic development is impeded by the difficulty of delivering ef...

A Synthetic Data-Augmented Deep Learning Framework for Robust Segmentation and Quantification of the Carotid Artery in Ultrasound Images.

OBJECTIVE: To address the severe limitation imposed by the scarcity of annotated data on deep learning-based automated segmentation of the carotid art...

An interpretable ultrasound-based deep learning system for early breast cancer in a Chinese population.

OBJECTIVES: Current deep learning models for early breast cancer lack interpretability and multimodal integration, limiting their clinical acceptance....

Large language model exposure and precarious occupations: Unpacking relationships in the Canadian labor force.

OBJECTIVE: The adoption of digital technologies has historically impacted the most precarious occupations and contributed to widening labor market ine...

Narrative Review on History of Point-of-Care Ultrasound Training in Critical Care.

INTRODUCTION/PURPOSE: Point-of-care ultrasound (PoCUS) has evolved from bulky radiology-based machines to a core bedside tool in critical care. Traini...

Integrating artificial intelligence into drug delivery systems: Formulation development and current challenges.

Artificial intelligence (AI) is increasingly being explored as a supportive tool to address persistent challenges in drug delivery research, particula...

Trends in Cleft Palate Incidence in the Era of Prenatal Ultrasonography and Early Detection.

ObjectiveTo evaluate whether temporal changes in prenatal detection and North Carolina abortion rates are associated with live-birth cleft palate (CP ...

Impact of nanocarrier mediated drug delivery systems: a deep dive into therapeutics and clinical management of breast cancer.

Breast cancer (BC) is the most frequently diagnosed malignancy and the leading cause of cancer-related death among women worldwide. The therapeutic li...

Artificial intelligence in paediatric chest imaging: applications, challenges, and future directions.

BACKGROUND: Paediatric chest imaging is central to diagnosing respiratory and cardiopulmonary disease, particularly in low- and middle-income countrie...

Forecasting the Impacts of Artificial Intelligence Assistance in Virtual Consultations for Chronic Obstructive Pulmonary Disease: Exploratory Futures Wheel Study.

BACKGROUND: While digital health technologies promise to reshape the medical journey, their potential might not be realized due to unforeseen implemen...

Early Deployment of an Integrated Digital Platform (shamiriOS) for Scalable Youth Mental Health Service Delivery in Kenya: Development and Usability Study.

BACKGROUND: Scaling youth mental health services in low-resource settings requires digital infrastructure that supports not just clinical delivery but...

Phase-Dependent Passive Muscle Stretching Modulates B-Mode Ultrasound Classification of Parkinson's Disease.

OBJECTIVE: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by tremor, rigidity and bradykinesia. Although central n...

Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly.

OBJECTIVE: To develop and evaluate a deep learning model capable of detecting ventriculomegaly on prenatal ultrasound images using a foundation model ...

Radiologist workforce challenges and the burden of image interpretation in Ghana: Perspectives of frontline doctors and implications for healthcare delivery.

Interpreting radiological images, a primary responsibility of radiologists, is crucial for accurate diagnosis and informed clinical decisions. However...

Green extraction of RuBisCO-rich leaf protein for sustainable food systems: process efficiency, functional quality, and sustainability assessment.

Leaf biomass, particularly ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO)-enriched fractions, represents a viable secondary source of prote...

Ultrasound elastography in pediatric care: bridging innovation and noninvasive diagnostics.

This review explores the application and limitations of ultrasound elastography (USE) in the pediatric population, addressing its diagnostic value acr...