Latest AI and machine learning research in nursing for healthcare professionals.
The rapid integration of artificial intelligence (AI) into healthcare raises important questions about the foundational nature of nursing practice. As AI systems, such as clinical decision support, predictive analytics, and automated assessments, increasingly influence nurse-patient interactions, nursing must examine how authentic care can continue when patients are reduced to algorithmic data. Dr...
The integration of robots into healthcare is an advancing field, with potential to enhance patient care, for example in medication counselling. Peplau's Interpersonal Relationship Model was adapted as a framework for the aim to explore the needs of young adults in relation to social robots in medication counselling. Peplau's model outlines the phases of the nurse-patient relationship and is emphas...
Healthcare leaders face sustained uncertainty: workforce volatility, financial pressure, and accelerating technology change. In 2024-2025, Ardent Heal...
Only when scientific evidence moves beyond research conclusions and is translated into clinical decision-making, organizational systems, and standard ...
Under the framework of evidence-based practice (EBP), evidence-based knowledge is integrated systematically into clinical care and continuously update...
BACKGROUND: The role of artificial intelligence (AI) in medical care has become increasingly prominent. There is an urgent need to integrate the cross...
The game changers in mental health and substance use disorder treatment have been shaped by historical sea changes marked by transformative advancemen...
AIM: This study aims to evaluate the mediating role of artificial intelligence (AI) anxiety in the effect of nurses' attitudes toward health technolog...
The exponential growth of artificial intelligence (AI) in healthcare has sparked both enthusiasm and apprehension within the nursing discipline. While...
BACKGROUND: As artificial intelligence (AI) becomes increasingly integrated into education, understanding student perceptions of AI-generated support ...
BACKGROUND: Critically ill patients generate large volumes of complex data, creating challenges for timely clinical decision making in intensive care ...
BACKGROUND: Resource Constrained Situations (RCS) at Emergency Medical Dispatch centers where there are more patients requiring an ambulance than ther...
As artificial intelligence (AI) transforms nursing education, faculty must develop digital literacy and prompt engineering skills to integrate these t...
BACKGROUND: Generative artificial intelligence (GAI) addresses gaps in nursing curricula regarding social determinants of health (SDOH) by offering in...
BackgroundThe rapid advancement of artificial intelligence (AI) in healthcare necessitates a deeper understanding of how digital leadership (DL) shape...
BACKGROUND: Postoperative delirium is an acute, fluctuating neurocognitive syndrome. It is among the most common perioperative complications in older ...
There is simultaneously a global shortage of mental health professionals and a rising demand for mental health services. Nurses provide the largest sh...
BACKGROUND: Generative artificial intelligence (AI) chatbots create new opportunities and risks in nursing education; stakeholder perspectives are nee...
Generative artificial intelligence (AI) is rapidly reshaping how nursing students produce and communicate academic work, intensifying questions about ...
Extracorporeal membrane oxygenation (ECMO) is widely used in patients with severe cardiac or respiratory failure. ECMO is resource and cost intensive ...