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Role of Large Language Model-Artificial Intelligence in Enhancing Communication Skills in Undergraduate Oral Healthcare Students.

INTRODUCTION: Artificial Intelligence (AI) is transforming dental education (DE) by advancing teaching strategies, clinical training, and patient care. Its integration allows for personalized learning experiences and realistic simulations, and equips students with the competencies required to deliver high-quality oral healthcare in a digital environment. AIM: This project, a collaboration between ...

Glycolysis, Inflammation, and Mitochondrial Dysfunction: New Perspectives on the Pathogenesis of Hypertension.

BACKGROUND: Recent studies show enhanced glycolysis is linked to chronic diseases, but its relationship with hypertension is unclear. This study explores glycolysis-hypertension links and Pan-Immune Inflammation Value (PIV) and mitochondrial dysfunction chain mediation. METHODS: Data were derived from the National Health and Nutrition Examination Survey (NHANES) 2011-2014, with 8,419 participants ...

Training Perspectives from the NIH T32 Artificial Intelligence for Precision Nutrition Programs.

Nutrition is one of the few modifiable risk factors for health status. The diet-disease relationship, however, is highly complex, with many endogenous...

Composite dietary antioxidant index with hepatic indices for predicting mortality in cardiovascular-kidney-metabolic syndrome: Integrated analysis of a nationwide cohort study using machine learning approaches.

Oxidative stress is a pathological driver of cardiovascular-kidney-metabolic (CKM) syndrome, exacerbating inflammation and tissue injury, while metabo...

Associations between sex steroid hormones and female malignancies: A cross-sectional analysis of NHANES data.

Sex steroid hormones, including estradiol (E2), estrone (E1), follicle-stimulating hormone (FSH), and luteinizing hormone (LH), have been implicated i...

The association between serum chloride levels and asthma prevalence: A cross-sectional study with variable screening and validation guided by machine learning.

Prior evidence suggests that ion channel dysfunction plays a significant role in the pathogenesis of asthma, which provides a theoretical basis for th...

A Grok API-Based DICOM File-Attachment Structured Reporting Workflow for Silicone Breast Implant MRI: a Single-Center Proof-of-Concept Agreement Study.

This study aims to evaluate a Grok application programming interface (API)-based file-attachment structured reporting workflow for silicone breast imp...

Artificial intelligence in food and nutrition science: a paradigm-centric review of computational frameworks and system-level integration.

Precision nutrition on a global scale necessitates an understanding of food not as static collections of so-called macronutrients but rather as dynami...

Attitudes towards artificial intelligence among students and faculty staff at Kuwait University's Health Science Centre: A cross-sectional study.

BackgroundArtificial intelligence (AI) is increasingly integrated into healthcare and health-professions education. While it may improve efficiency, d...

Informing age-friendly cultural landscape management through older adults' perception: An interpretable multi-source analysis in Nanjing.

Landscape perception is increasingly recognized as an important basis for environmental management, particularly in everyday urban landscapes used by ...

Geometry driven machine learning guided fabrication of sub-5 µm PLGA microparticles for balloon catheter drug delivery.

Poly (lactic-co-glycolic acid) (PLGA) microparticles are widely used as biodegradable drug-delivery carriers, where particle size critically governs d...

Evaluating LLM Accuracy in Predicting Peruvian Meal Nutrition.

BACKGROUND: Artificial intelligence applications have been developed to predict the nutrient content of meals. However, none have been evaluated in th...

Adapt or Become Irrelevant: the Pathologist as the new Diagnostic Architect.

AIMS: Pathology is undergoing a paradigm shift as diagnostics become increasingly multimodal and computational. Yet legacy structures, incentives and ...

Knowledge and perception of artificial intelligence among operating room staff in educational hospitals: a cross-sectional survey.

BACKGROUND: Successful implementation of artificial intelligence (AI) in healthcare depends not only on technological performance but also on the read...

Detecting and Mitigating AI Bias in Health Care: Development and Validation of a Unified Multistage Framework.

BACKGROUND: AI-driven clinical systems can improve diagnosis, prognosis, and resource allocation, but they may reproduce disparities encoded in histor...

Empowering Educators to Build AI Chatbots in Health Professions Education: Tutorial on a No-Code Design Workflow.

AI is entering clinical practice faster than health professions curricula can teach it, leaving many educators eager to use AI-based teaching tools bu...

Short- and long-term shifts in food purchasing behaviours and nutrition disparities in the USA during and after the COVID-19 pandemic.

The coronavirus 2019 pandemic disrupted food purchasing behaviours, triggering both short- and long-term nutritional shifts. Here, analysing 9,367,550...

FireMaster 550 Differentially Alters Gene Expression Underlying Synaptic Function in Amygdala of Prairie Voles After Gestational or Lactational Exposure.

Neurodevelopmental disorders often share similar behavioral diagnostic criteria including socioemotional and cognitive deficits. The prairie vole is a...

A Machine Learning-Based Model to Predict Overactive Bladder Risk Among US Women: Evidence From the National Health and Nutrition Examination Survey 2011-2018.

BACKGROUND: Overactive bladder (OAB) is a prevalent condition, particularly among women, characterized by urinary urgency, often accompanied by freque...

Unsupervised clustering approaches for phenotype classification and cardiometabolic risk assessment: A cross-sectional study of NHANES 1999-2006.

PURPOSE: Clear guidelines on using dual-energy X-ray absorptiometry (DXA) are lacking. DXA-derived phenotypes based on whether the person was above or...