Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
BACKGROUND: Distinguishing autism spectrum disorder (ASD) from social communication disorder (SCD) i...
To further standardize the prevention and management of lung cancer in China, improve the level of d...
The practice of thromboprophylaxis in hospitalized children is evolving. Emerging research in pediat...
The purpose of this narrative review was to synthesise the literature on how Digital Health Interven...
BACKGROUND: The prevention of allergic diseases has been addressed by numerous systematic reviews. H...
To further standardize the prevention and management of lung cancer in China, improve the level of d...
BACKGROUND: Generative artificial intelligence (AI), including large language models (LLMs), has bee...
BACKGROUND: Postoperative delirium (POD) is a complication affecting up to 50% of older surgical pat...
PURPOSE: Ischemic stroke is a leading cause of disability and death, and early identification of car...
This conceptual, implementation-oriented paper proposes a framework for precision prevention centred...
BACKGROUND: Differentiating Intestinal tuberculosis (ITB) from Crohn's disease is a major diagnostic...
Emotional models have demonstrated fast response times, quick adaptation, and promising performance,...
Communication across languages is increasingly mediated by artificial intelligence (AI). This create...
INTRODUCTION: Dental caries remains highly prevalent among children despite being preventable. Limit...
Cardiovascular disease remains the leading cause of death in the United States, with heart failure (...
Human immunodeficiency virus (HIV) infection remains a major global health burden, and Uganda contin...
INTRODUCTION: Trauma is a leading cause of death worldwide, with emergency departments playing a piv...
Bisphosphonates remain the pharmacological standard of care for osteoporosis; however, their clinica...
BackgroundFall-related injuries in older adults remain a major health concern, contributing to funct...
BACKGROUND: Artificial intelligence-powered large language models (LLMs) are increasingly used by pa...
INTRODUCTION: Effective communication during care transitions is essential for patient safety and qu...