Pregnancy

3D Freehand Ultrasound Reconstruction of the Carotid Artery.

OBJECTIVE: Sensorless alignment of two-dimensional (2D) freehand ultrasound scans for three-dimensional US (3DUS) reconstruction offers significant advantages due to its ease of use. Prior approaches have used transducers with motion sensors, which are cumbersome and inconvenient in a clinical setting, linear wobblers, or motorized 2D scanning which suffer from a small field of view (FOV) and low ...

Ultrasound Microvascular Imaging Using Deep Knowledge Distillation.

Ultrafast Doppler imaging provides critical insights into tissue perfusion but traditionally requires long acquisitions and computationally expensive filtering, such as singular value decomposition (SVD). In this work, we propose SONIC, a real-time, deep learning framework that reconstructs high-quality vascular images from limited Doppler frames using a teacher-student paradigm. The student model...

Understanding how language barriers in the paediatric emergency care setting influences safety of care delivery: a scoping review.

BACKGROUND: Communication in a family's primary language can support safe care. Vital steps within the care delivery process are contingent on success...

Noninvasive molecular subtyping of breast cancer using multimodal ultrasound spatiotemporal transformer.

Molecular subtyping is essential for guiding systemic therapy in breast cancer but currently requires invasive biopsy. Conventional B-mode ultrasound ...

Breast ultrasound images for segmentation and classification using multi-task U-Net.

Breast ultrasound imaging is widely used for the early detection of breast cancer due to its accessibility and effectiveness, particularly in dense br...

Enhancing corporate bankruptcy prediction and customer relationship sustainability through CNN-based financial feature transformation.

Corporate bankruptcy prediction is essential for assessing companies' capacity to maintain sustainable customer relationships and service quality. Thi...

Beyond Linear Risk: A Machine Learning Approach to Understanding Perinatal Depression in Context.

The goal of this study was to investigate the contextual nature of prenatal depression (PND) and postpartum depression (PPD). We report an investigati...

Identification of COL5A1 and TGFBI as key basement membrane genes and their molecular mechanisms in gestational diabetes mellitus.

Gestational diabetes mellitus (GDM) is a common complication during pregnancy, but the role of the basement membrane (BM) in GDM is not well understoo...

A Bilingual AI-Based Chatbot for Nutrition Education in a Food Is Medicine Intervention for High-Risk Pregnant Women: Design and Development Study.

BACKGROUND: Conversational agents (artificial intelligence [AI]-based chatbots) offer a novel approach to health interventions by providing personaliz...

Fingerprints Encode Risk for Bipolarity.

BACKGROUND: Fingerprint patterns are developed during pregnancy and share a common embryogenic origin with the central nervous system. Considering the...

Effects of Different Exercise-Led Strategies on Mental, Nutritional, Physical and Cognitive Health in Community-Dwelling Older Adults: A Quasi-Experimental Study.

INTRODUCTION: Exercise interventions are widely used to promote physical and psychosocial health in community-dwelling older adults; however, the comp...

Investigation of the Accuracy and Contributing Factors of AI-Based Diagnosis of Urothelial Carcinoma in Canine Abdominal Radiography.

Urothelial carcinoma (UC) is a highly malignant urinary cancer of the transitional epithelium in dogs. Recent advances in artificial intelligence (AI)...

Bridging the Gap Between Artificial Intelligence and Clinical Readiness in Endometriosis Diagnosis: A Systematic Review.

OBJECTIVE: To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically...

Computational and machine learning approach for nanoparticle-enhanced bio-heat transport with coupled effects of interparticle spacing and nanoparticles radius.

Targeted delivery of drugs and hyperthermia in cardiovascular disease demand the accurate delivery of nanoparticles in complex arterial geometries. Th...

Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging.

Ultrasound microvascular imaging (UMI) has emerged as a powerful, noninvasive modality for visualizing the microvasculature, offering valuable insight...

Anti-vascular endothelial growth factor therapy for posterior segment diseases: Progress, challenges, and the road ahead.

The emergence of anti-vascular endothelial growth factor (anti-VEGF) therapy has marked a paradigm shift in the treatment of retinal and choroidal vas...

Genetically engineered human cell-based microrobots for selective cancer cell death.

Medical microrobots have strong potential for targeted therapeutic delivery; however, current systems achieve only physical targeting, and once at the...

Are We Listening or Just Delivering? A Critical Inquiry Into the Implementation Failures of Global Dental Reforms.

OBJECTIVES: Globally, dental reforms have gained momentum through enhanced policy dialogues, the rise of digital health, artificial intelligence and o...

Prevalence and potential risk factors of short birth interval among reproductive-aged women in Bangladesh: a population-based cross-sectional study.

BACKGROUND: Short birth interval is an important reproductive health concern in low- and middle-income countries, including Bangladesh, as it may have...

A lightweight GhostYOLO framework with GhostDynamic Module and multi-scale attention for thyroid nodule diagnosis.

Ultrasound is the primary tool for thyroid nodule assessment, but diagnostic accuracy and efficiency require improvement. This study aims to develop a...