Latest AI and machine learning research in nursing for healthcare professionals.
Recent rapid developments in artificial intelligence (AI) technologies are leading to significant changes in social and economic structures. These changes are having a direct impact on young people's transition to the labour market and their expectations regarding employment. Against this backdrop, the relationship between university students' concerns about AI and their anxieties about job search...
AIM: The aim of this study is to assess nurse practitioner students' perceptions and engagement with Isabel's artificial intelligence (AI) based differential diagnosis tool to support their decision-making skills during their theoretical and clinical placement training. DESIGN: This pilot study used a cross-sectional design. METHODS: Twenty-six nurse practitioner students provided feedback on thei...
AIM: This study aims to investigate the levels of artificial intelligence-related anxiety among nurses, their attitudes towards the use of AI in clini...
OBJECTIVES: To evaluate the feasibility of a large language model (LLM)-based chatbot for answering parental questions in the PICU and inform design o...
BACKGROUND: Aging populations and rising chronic illness prevalences are increasing demands for nursing care, while staff shortages threaten care qual...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming health care by enhancing diagnostic accuracy, optimizing clinical workflows, and supp...
BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other sedative drugs can cause respiratory depression a...
BACKGROUND: Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable m...
BACKGROUND: In nursing education, faculty generated and commercially prepared podcasts have been shown to be an effective way to deliver content. Gene...
BACKGROUND: Early identification and management of frailty are crucial, yet its detection in early stages remains difficult for clinicians. Artificial...
PURPOSE: This study was conducted to determine pediatric nurses' use of generative artificial intelligence and their level of competency. METHODS: The...
Healthcare systems globally face unprecedented pressures, with increasing patient volumes and resource constraints affecting care delivery. While syst...
AIM: To describe contemporary peer-reviewed literature on artificial intelligence in nurses' clinical decision-making. METHODS: An umbrella review of ...
Recent advancements in artificial intelligence, telehealth, and sensor technologies have fundamentally transformed health care, creating an urgent nee...
BACKGROUND: In aging populations, the demand for care, including care delivery in long-term care (LTC) facilities, is increasing. This situation highl...
BACKGROUND: Nursing education requires innovative models to prepare practice-ready nurses with global health competencies and real-world research expe...
Kaiser Permanente Northern California (KPNCAL) has a long-standing commitment to advancing nursing excellence through workforce development, professio...
Nursing stands at a critical inflection point-shaped by global complexity, rapid technological change, and the enduring moral commitment to human cari...
Primary mitochondrial disorders are clinically and genetically heterogeneous and remain underdiagnosed in resource-limited settings. We performed a re...