Pregnancy

Clinical appraisal of handheld intestinal ultrasound in inflammatory bowel disease: Where are we now?

Gastroenterologist-performed intestinal ultrasound (IUS) is increasingly used to monitor inflammatory bowel disease (IBD) due to its noninvasive, real-time, and cost-effective attributes, alongside high diagnostic accuracy. However, wider adoption remains limited by the cost, size, and workflow demands of cart-based or high-end ultrasound platforms. Handheld ultrasound has emerged as a miniaturize...

Machine Learning to Identify Point-of-Care Ultrasound and Evaluate Standardized Documentation: Retrospective Operational Cohort Study.

BACKGROUND: Point-of-care ultrasound (POCUS) is integral to obstetrics and gynecology (OBGYN), offering bedside diagnostic and therapeutic advantages. Despite its widespread adoption, accurate documentation and billing remain challenging due to inconsistent workflows, variable free-text note quality, and inefficiencies within electronic health record (EHR) systems. These barriers often result in m...

Exploring patients' and public perspectives on an oral capsule for gastric submucosal delivery in Denmark and the USA: a mixed-methods study protocol.

INTRODUCTION: Oral capsules for gastric submucosal delivery represent a fundamentally new route of administration for biologics, which are currently l...

A three-metabolite microbiota-associated signature for early risk stratification of gestational diabetes mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes and long-term metabolic and cardiovascular risk. However...

Uncovering complex correlations between multidimensional factors and breastfeeding duration using XGBoost.

BACKGROUND: Breastfeeding duration is influenced by a complex interplay of obstetric, physiological, and sociodemographic factors. Traditional linear ...

Freehand 3D ultrasound imaging of the femoral head and neck.

PURPOSE: To evaluate the performance of a novel freehand 3D ultrasound system for assessing morphological deformities of the femoral head and neck ass...

Machine learning-enabled prediction of ART pregnancy outcomes: a systematic review and meta-analysis.

OBJECTIVE: To systematically evaluate the diagnostic accuracy and methodological quality of machine learning (ML) prediction models for pregnancy outc...

Trust-Centered Design and Feasibility Evaluation of an AI-Enabled Conversational Health Tool for Sexual and Reproductive Health Among Rural Young Adults: Protocol for a Mixed Methods Study.

BACKGROUND: Young adults aged 18 to 25 years in rural communities face barriers to sexual and reproductive health (SRH) information, including clinici...

A team science blueprint for nurse-led artificial intelligence research: Lessons from building AI tools to detect stigmatizing language in obstetric records.

BACKGROUND: Nurse scientists are increasingly expected to lead research applying artificial intelligence (AI) to advance health equity. However, there...

Identification of obesity risk factors in 3-12-year-old children and adolescents with prior respiratory tract infections via interpretable machine and deep learning models.

BACKGROUNDS AND OBJECTIVES: Childhood obesity and respiratory tract infections (RTIs) are 2 major global public health issues that frequently co-occur...

A polyline searching-driven evolutionary AI for disease detection of medical imaging data.

Objective Accurate Ultrasound (US) prostate cancer (PCa) segmentation images hold significant value for organ interventional guidance and clinical...

A deep learning framework for radiotherapy dose prediction: from MLC motion to patient-specific dose perturbation.

The precision of modern radiotherapy hinges on the dynamic sculpting of dose by multi leaf collimators (MLCs). This study introduces a physics informe...

From Quantification to Translation: Advanced Bioanalytical Strategies for Evaluating Targeted Drug Delivery Systems Across Molecular, Cellular, and In Vivo Scales.

Targeted Drug Delivery Systems (TDDS) have been proposed as an innovative approach for enhancing therapeutic efficiency through selective targeting of...

Exploring Women's Perspectives on Receiving AI-Enabled Digital Support for Infant Feeding: Multimethods Cross-Sectional Study.

BACKGROUND: Infant feeding practices, including breastfeeding, are known to benefit maternal and child health outcomes. Therefore, parent access to ev...

AI-Enabled Wearable Ultrasound for Noninvasive Central Venous Pressure Monitoring.

Central venous pressure (CVP) is a key indicator of right ventricular preload, but measurement with a central venous catheter (CVC) is invasive, time-...

Integrative Multi-Omics Analysis Identifies Key Molecular Targets Linking Bisphenol A Exposure to Gestational Diabetes Mellitus.

Bisphenol A (BPA) exposure is associated with gestational diabetes mellitus (GDM); however, the underlying molecular mechanisms remain elusive. This s...

Comparative analysis of supervised machine learning algorithms for transdermal drug delivery in brain disorders.

To improve patient compliance and provide stable and prolonged delivery of drugs to the brain, transdermal drug delivery systems (TDDS) are being expl...

Seven Pillars for a Community-Led AI-POCUS Future - A WINFOCUS Manifesto.

The rapid integration of Artificial Intelligence (AI) into Point-of-Care Ultrasound (POCUS) represents a transformative shift, offering the potential ...

Faculty Burnout at the Intersection of Artificial Intelligence Adoption and Academic Integrity Measures: A Thematic Analysis in Higher Education.

The rapid integration of Artificial Intelligence (AI) in higher education has changed teaching and assessment practices and has introduced new risks f...

Artificial intelligence in breast cancer imaging: a systematic review of diagnostic performance, predictive modeling, and clinical translation.

Artificial intelligence (AI) has rapidly advanced in breast cancer imaging, demonstrating high diagnostic and predictive performance across imaging mo...