Pregnancy

Bridging the rural logistics penalty: quantifying structural costs and designing policy mechanisms for home TCM delivery to older adults with chronic respiratory diseases.

BACKGROUND: Equitable access to prescribed therapies remains challenging for older adults with chronic respiratory diseases (CRDs) in rural China. Liquid Traditional Chinese Medicine (TCM) decoctions are widely used in respiratory care, but their large volume, thermal sensitivity, and need for temperature-controlled handling make home delivery particularly difficult in geographically dispersed rur...

An Explainable AI Framework for Continuous Monitoring, Risk Stratification, and Clinical Decision Support in Primary Biliary Cholangitis: Protocol for a Multiphase Development and Validation Study.

BACKGROUND: Primary biliary cholangitis (PBC) management remains limited by reliance on static biochemical markers, fragmented assessment of symptom burden, and inadequate noninvasive risk stratification for clinically significant portal hypertension (CSPH). Existing tools fail to integrate longitudinal laboratory trends, elastography, and patient-reported outcomes, and translation of risk assessm...

Cardiac substructure dosimetry in thoracic radiotherapy: moving beyond mean heart dose and toward precision cardiac risk mitigation.

BACKGROUND: Radiation-induced heart disease (RIHD) remains a clinically significant consequence of thoracic radiotherapy (RT). Historically, the mean ...

Viral Infections and Neurodegenerative Diseases: Reinterpreting the Crosstalk Through a Dual-Role Lens.

Neurodegenerative diseases (NDDs) are multifactorial disorders with increasing evidence implicating viral infections in their pathogenesis. However, c...

Dual-domain radio-frequency signal and image joint modeling for coronary calcium detection in intravascular ultrasound.

Coronary artery disease remains a leading cause of mortality worldwide. Accurate detection and angular quantification of coronary calcification are im...

AI-enabled precision reproductive medicine: a comprehensive review of clinical applications, decision frameworks, and evidence-based implementation.

Infertility represents a growing global health challenge, intensifying the demand for advanced assisted reproductive technology (ART). Artificial inte...

Ultrasound-assisted extraction for enhanced recovery and bioactivity of polyphenols from Tuber formosanum.

Tuber formosanum is a valuable edible and medicinal fungus, yet systematic research on the efficient and green extraction of its polyphenolic compound...

Hybrid Physics-Driven Deep Learning for Enhanced Ultrasound Image Quality and Speckle Noise Suppression.

Ultrasound imaging is widely used in clinical practice due to its non-invasive, real-time, and cost-effective nature. However, speckle noise often deg...

A Multi-Task Segmentation and Classification Network Based on Ultrasound Images for Predicting the Grading of Ascites in the Abdominal Cavity.

Abdominal trauma with bleeding is a leading cause of post-traumatic death, and detecting free fluid in the abdomen or hemoperitoneum can provide criti...

Genetically engineered outer membrane vesicles as next-generation bionanomaterials for therapeutic and diagnostic applications.

Outer membrane vesicles (OMVs), naturally released by Gram-negative bacteria, represent a unique class of bionanomaterials with inherent immunogenicit...

Accuracy of Key Sonographic Markers for Juxta-Articular Fractures: A Prospective Study Using Explainable Machine Learning.

OBJECTIVES: To systematically evaluate sonographic features of long bone juxta-articular fractures and identify key diagnostic predictors using machin...

APASA: adaptive selection of informative peritumoral regions for improved automated cancer lesion analysis.

Precise cancer lesion analysis in medical imaging critically depends on the accurate definition of regions of interest (ROIs), which directly influenc...

The Value of a Predictive Model Based on Multimodal Ultrasound Imaging Biomarkers Combined with Clinical Features in the Diagnosis of Thyroid Nodules.

INTRODUCTION: This study aimed to develop and validate diagnostic models for distinguishing benign and malignant thyroid nodules. METHODS: Between Jan...

Development and Validation of Machine-Learning-Based Prediction Models for Thyroid Diseases During Pregnancy.

BACKGROUND International guidelines recommend early screening based on targeted risk factors to identify thyroid disease during pregnancy. The complex...

Focused Ultrasound System Design Considerations Based on the Applications for the Peripheral Nervous System.

OBJECTIVE: This paper provides a review of design considerations crucial to Focused ultrasound (FUS) systems for achieving effective therapeutic outco...

Low-intensity transcranial ultrasound stimulation improves motor behavior and modulates cortical functional network connectivity in mice with ischemic stroke.

The recovery of motor function in patients with ischemic stroke is closely related to the plastic remodeling of cortical functional networks. Low-inte...

Beyond the 'Pregnancy Black Box': a global roadmap for artificial intelligence-driven pharmacogenomics in maternal-neonatal health.

Maternal and neonatal health (MNH) urgently requires precision medicine interventions, as morbidity, mortality, and health disparities hinder the achi...

Linking mixtures of air pollution exposures and preterm birth with a self-organizing map.

BACKGROUND: Exposure to nitrogen dioxide (NO2), ozone (O3), fine particulate matter (PM2.5), and heat has previously been associated with preterm birt...

AI as a Sparring Partner in Professional Settings: Counselors' Views on ChatGPT's Role and Potential in Pregnancy Termination Counseling.

The spread of generative artificial intelligence and large language model technologies, such as ChatGPT, has sparked interest in their applicability a...

Artificial intelligence in the diagnosis of deep vein thrombosis: A scoping review.

Deep vein thrombosis (DVT) is the formation of thrombi in the deep venous system, most often in the lower extremities. Although usually not life-threa...