Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: The growing integration of artificial intelligence (AI) into nursing education makes AI literacy a critical competency for students to effectively use AI and advance educational practices. PURPOSE: In this study, we aimed to assess nursing students' AI literacy and to examine the influence of year of study and AI training on their literacy levels. METHODS: We searched 10 databases from...
BACKGROUND: This scoping review examined literature on nursing educators' attitudes, preparedness, and utility of generative artificial intelligence (GenAI) in teaching and assessment, noting that how educators are responding within curricula, assessment strategies, and professional development remains unclear. PROBLEM: Limited evidence exists on nursing educators' perceptions of GenAI and readine...
Advancements in drug delivery systems (DDSs) have revolutionized pharmaceutical development by enhancing therapeutic precision, minimizing off-target ...
BACKGROUND: Generative artificial intelligence is increasingly integrated into nursing education. Within this context, heavy use of these tools has em...
The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. Ho...
BACKGROUND: Increasing cultural diversity requires nurses to ensure cultural safety in patient care. Artificial intelligence (AI)-based simulations of...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare, offering opportunities to enhance accuracy, efficiency, and personalized ...
BACKGROUND: Accurate risk stratification of biliary complications (BCs) after liver transplantation (LT) remains challenging. This study aimed to deve...
BACKGROUND: It is well-known that sleep disturbances and sleep-related traumas are the most common symptoms experienced by children following a trauma...
BACKGROUND: The artificial intelligence (AI) transformation of nursing education hinges on students' AI literacy. This study explores nursing students...
BACKGROUND: Paediatric content in undergraduate nursing education is typically delivered through lectures, simulation, and clinical placements. Constr...
The shortage of healthcare professionals increasingly challenges the provision of care for institutionalised older adults. This study investigates hea...
BACKGROUND: Acute kidney injury (AKI) is a frequent, severe complication in the intensive care units (ICU). Existing machine learning models are typic...
Accurate prediction of long-term functional outcomes for stroke patients remains a clinical challenge, despite advances in diagnostics and treatments....
AIM: To assess Egyptian nursing students' level of AI knowledge, perceptions of AI benefits, and fears regarding AI in nursing education and practice,...
BACKGROUND: Artificial intelligence (AI) is rapidly integrating into the nursing field, evolving from simple assistive tools to complex applications t...
OBJECTIVE: This systematic review and meta-analysis aimed to evaluate the performance of machine learning (ML) models compared to traditional statisti...
BACKGROUND: Nursing education is of great significance for cultivating high-quality nursing professionals. The introduction of Internet of Things (IoT...
BACKGROUND: Operating room nurses (ORNs) are at high risk for compassion fatigue (CF), which significantly impairs individuals' well-being, undermines...
Early recognition of patients at risk for deterioration in the emergency department (ED) is critical for patient safety. Traditional early warning sco...