Latest AI and machine learning research in clinical trials for healthcare professionals.
BackgroundCivil aviation cargo operations have expanded rapidly, but the occupational health and safety risks faced by cargo workers are still rarely examined through an integrated causal framework that captures chemical, ergonomic, psychosocial, and operational exposures together.ObjectiveThis study aims to identify, prioritize, and interpret the causal relationships among occupational health and...
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disorder leading to kidney failure. Recent advancements in artificial intelligence (AI) are transforming the diagnosis, risk stratification, management and prognostication in ADPKD by enabling more accurate assessments and individualized care. AI-powered imaging tools enhance the measurement of total kidney volu...
Background: Crisis lines provide evidence-based suicide prevention support that often involves active listening, safety assessment, collaborative prob...
AI is a medical education tool, yet its potential to foster morphologic reasoning remains underexplored. Histology students often struggle to move bey...
Lithium-ion batteries (LIBs) have rapidly proliferated due to their high energy density, fast charging capability, and long cycle life. However, intri...
Treatment resistance (TR) in major depressive disorder (MDD) affects a substantial minority of patients and is hard to recognize early, delaying inten...
BACKGROUND: Safety planning is recognized as one of the most effective interventions for reducing suicidal behaviors. The quality of safety plans stro...
BACKGROUND: Systematic collection of social determinants of health (SDoH) data remains inconsistent across healthcare settings, despite its critical i...
BACKGROUND: Depression is a prevalent mental health disorder and a leading cause of disability worldwide, creating substantial personal and societal b...
INTRODUCTION: The rapid integration of artificial intelligence (AI) technologies in healthcare, ranging from diagnostic tools to clinical decision sup...
Artificial intelligence (AI) has advanced rapidly across clinical domains, generating both a growing evidence base and dedicated regulatory frameworks...
Although the rapid advancement of Artificial Intelligence (AI) has a great impact on education, students' learning effectiveness is still the ultimate...
BACKGROUND: Millions of people now use leading generative artificial intelligence (AI) tools (chatbots) for psychological support. Despite the promise...
Nursing documentation is a fundamental component of safe clinical practice, supporting effective communication, continuity of care and patient safety....
PURPOSE: To evaluate the effects of a plant-based milk with fermented brown rice on constipation symptoms in patients with functional constipation and...
Older adults represent most patients with cancer worldwide, yet they remain substantially underrepresented in randomized clinical trials (RCTs), limit...
BACKGROUND: Cerebral palsy (CP) is a prevalent neurodevelopmental disorder in children, often leading to long-term motor impairments. Rehabilitation r...
BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In ...
BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the co...
PURPOSE: Percutaneous nephrolithotomy (PCNL) is the gold standard for treating large and complex renal calculi, but puncture path selection (papillary...