Background The healthcare landscape is rapidly evolving, with artificial intelligence (AI)
emerging as a transformative force. In this context, understanding the viewpoints of nursing …

This paper explores the integration of artificial intelligence (AI) in nursing and its implications
for healthcare research and academic writing. The use of AI in healthcare has become …

Aim: To describe the use of artificial intelligence (AI) by nurse managers to enhance
management, leadership, and healthcare outcomes. Background: AI represents a significant …

Nurses are frontline caregivers who handle heavy workloads and high-stakes activities.
They face several mental health issues, including stress, burnout, anxiety, and depression …

Smart data selection can quickly sieve valuable information from initial data. Doing so
improves the efficiency of analyzing situations to aid in better decision-making. Past …

Aim To examine the main effects and interaction effects of outcome expectations (eg,
anticipated satisfactory salary and benefits), nurse identity (a sense of membership in the …

Context AI is significantly sha** healthcare, particularly in nursing. 1 Research indicates
that AI impacts nursing roles, clinical care and nurse–patient interactions. 2 It is crucial for …

Background The integration of generative artificial intelligence (AI) as clinical decision
support systems (CDSS) into telemedicine presents a significant opportunity to enhance …

We conducted a bibliometrics analysis utilizing the Web of Science database, selecting
1925 articles concerning artificial intelligence (AI) in nursing. The analysis utilized the …

Background: The increase in powerful computers and technological devices as well as new
forms of data analysis such as machine learning have resulted in the widespread availability …