Latest AI and machine learning research in nursing for healthcare professionals.
AIM: To examine determinants of nurses' adoption of generative artificial intelligence outputs in clinical practice using a technology acceptance model and an integrated structural equation modelling framework. DESIGN: Cross-sectional online survey. METHODS: Registered nurses in mainland China completed an anonymous questionnaire assessing perceived performance benefits, perceived ease of use, per...
AIM: This study aimed to evaluate the ability of three generative artificial intelligence tools (ChatGPT, Gemini and DeepSeek) to generate clinically accurate, comprehensive, and readable nursing care plans aligned with standardised nursing taxonomies (North American Nursing Diagnosis Association International, Nursing Interventions Classification, and Nursing Outcomes Classification). The study f...
The National Institutes of Health Stroke Scale (NIHSS) is a quantitative tool, grading neurological deficits and guiding acute stroke management; howe...
BACKGROUND: Artificial intelligence (AI)-supported applications are increasingly integrated into nursing education and have the potential to influence...
BACKGROUND: Artificial intelligence (AI) is being integrated into health care, yet nursing students are graduating without formal preparation to navig...
The rapid adoption of generative artificial intelligence (GenAI) in nursing education presents urgent ethical challenges, particularly as students emp...
INTRODUCTION: Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact be...
BACKGROUND: Generative artificial intelligence (AI) has the potential to ease the administrative burden placed on nurses and to advance the quality an...
BACKGROUND: In the era of rapid digital transformation, it is crucial to cultivate research competence among nursing postgraduates to support innovati...
BACKGROUND: Generative artificial intelligence (AI) is entering coursework, simulation, and assessment in nursing programs. Conventional digital profe...
Background No systematic methods exist for triaging outpatients with severe conditions. Our previous pilot study suggested that the National Early War...
BACKGROUND: Artificial intelligence (AI) tools are widely and freely available for clinical use. Understanding hospitalists' real-world adoption patte...
High-flow nasal cannula (HFNC) therapy is widely used for respiratory support in critically ill patients, offering benefits such as improved oxygenati...
Paroxysmal sympathetic hyperactivity (PSH) is a syndrome that occurs in a large subset of critically ill traumatic brain injury (TBI) patients and is ...
The utilization of artificial intelligence (AI) in healthcare is rapidly developing with many unknowns and unforeseen circumstances. With the behavior...
AIM: To map the digital ethics studies published to date in the field of nursing. BACKGROUND: The integration of digitalization in the healthcare sect...
AIM: To examine how nurses' acceptance of artificial intelligence influences job crafting over time and to explore the longitudinal mediating role of ...
AIM: This perspective proposes evidence-informed strategies to advance health literacy equity for migrant domestic workers (MDWs) globally, integratin...