Cultural Competence

Integrating Artificial Intelligence into Venous Thromboembolism Care: Predictive Models, Implementation Challenges, and Future Directions.

Artificial intelligence (AI) has the potential to support personalized, multidisciplinary, data-driven care for venous thromboembolism (VTE) prevention, detection, imaging, management, and follow-up. We reviewed 23 studies: 20 prediction or detection studies were assessed with PROBAST+AI, while 3 evaluated clinical-impact interventions. Of these, 18 of 20 studies (90.0%) were at high risk of bias....

Artificial Intelligence-Powered One Health: A Predictive Framework for Managing Persistent Chemical Threats across Human, Animal, and Environmental Systems.

The increasing burden of persistent organic pollutants, per- and polyfluoroalkyl substances, heavy metals, and emerging contaminants represents a global threat to human, animal, and ecosystem health. Current management strategies remain fragmented and reactive, limiting the effectiveness of the One Health paradigm. This review introduces an artificial intelligence (AI)-powered One Health framework...

Eliminating Registration Bias in Synthetic CT Generation using a physics-based simulation framework for pelvic anatomy.

Supervised synthetic computed tomography (sCT) generation from cone-beam CT (CBCT) requires spatially registered training pairs, yet perfect registrat...

Stigmatizing Language in Gender-Expansive Patient Records: Corpus Development, Disparity Analysis, and Natural Language Processing-Based Detection Study.

BACKGROUND: Stigmatizing language (SL) in electronic health records (EHRs) can influence clinical decision-making, propagate bias across care encounte...

SSS Framework: A Think-First, AI-Second Model for AI-Assisted Writing.

It is remarkable how quickly AI has become woven into the ways we think, write, and create, bringing renewed attention to intellectual autonomy and th...

Rehab or not rehab: artificial intelligence helps humans identify rehabilitation Cochrane systematic reviews.

BACKGROUND: Rehabilitation is a core component of health systems worldwide, yet its conceptual boundaries remain heterogeneous and difficult to operat...

A clinician-centered evaluation framework for large language models in patient education: Integrating the Technology Acceptance Model and Medical Condition Regard Scale.

Inadequate post-care patient education contributes to preventable readmissions and adverse outcomes that disproportionately affect medically complex, ...

An Umbrella Review of Artificial Intelligence Applications in Mental Health Care.

BACKGROUND: Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers;...

Harnessing Yeast Biodiversity for Advanced Industrial Applications.

Budding yeast Saccharomyces cerevisiae and various non-conventional species are widely applied in the production of diverse industrial products, inclu...

AI and neuroimaging in autism spectrum disorder: advances in diagnosis, methodological challenges and future directions.

BACKGROUND: Autism Spectrum Disorder (ASD) is characterized by challenges in social interaction, communication, and restricted or repetitive behaviors...

Long-term microbiome and clinical effects of a microbiome-guided personalized diet versus low-FODMAP diet in irritable bowel syndrome: A 12-month follow-up randomized controlled trial.

Dietary therapy is central to irritable bowel syndrome (IBS) management, yet the long-term durability of the low-FODMAP diet (LFD), and of microbiome-...

A Systematic Evaluation of Cohort Selection Criteria and Their Impact on Machine Learning Model Performance and Demographic Disparities in COVID-19 Outcomes: Cohort Study.

BACKGROUND: Cohort selection criteria play a critical role in shaping machine learning (ML) model performance and the equity of clinical outcome predi...

Molecular active learning approaches for predicting skin cytotoxicity.

Skin cytotoxicity assessment of small molecules is vital for assessing their risk of cytotoxicity upon topical contact. However, identifying cytotoxic...

Digital Standardized Patients: Conceptual Framework for Generative AI-Empowered Medical Education.

Generative AI is driving medical education from digital support toward intelligent, interactive learning environments. The cultivation of doctor-patie...

Automated seismic fault mapping using convolutional neural networks for the Berenice Field, Western Desert, Egypt.

Accurate fault interpretation remains a cornerstone of hydrocarbon exploration, directly influencing structural modeling, reservoir compartmentalizati...

Artificial intelligence-driven prediction of neoadjuvant chemotherapy response in adult patients with gastric cancer: a systematic review and meta-analysis.

OBJECTIVES: A substantial proportion of adults with locally advanced gastric cancer derive limited benefit from neoadjuvant chemotherapy (NAC), with a...

Integration of artificial intelligence in public health dentistry: applications, challenges, and future directions - a scoping review.

Artificial intelligence (AI) is transforming healthcare delivery globally, with increasing applications in public health dentistry. This scoping revie...

Multimodal Digital Therapeutics Enhanced by Task Design and AI for Attention-Deficit/Hyperactivity Disorder Core Symptoms and Executive Functions in Children and Adolescents: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children and adolescents. Digital therapeuti...

Representational Veracity in Data Science Health Research: Targets, Proxies, Labels, and Descriptors.

Prevailing ethical oversight of data science health research concentrates on privacy, consent, bias, and fairness. These concerns are necessary but in...

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...