Latest AI and machine learning research in nursing for healthcare professionals.
The aim of this review was to systematically review published studies on risk prediction models for contrast-associated acute kidney injury (CA-AKI) in patients with ST-segment elevation myocardial infarction (STEMI) after percutaneous coronary intervention (PCI). We searched PubMed, Embase, Web of Science, Scopus, Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Chi...
Recent advancements in the performative capacities of artificial intelligence (AI), machine learning (ML), and algorithmic-based tools open up numerous applications in modern medicine. There are, however, few studies that track the whole lifecycle of a digital healthcare tool as it evolves from conception, to design, and deployment in real world settings-especially with a focus on the social dynam...
BACKGROUND: Deep learning approach plays a pivotal role in nursing education, equipping students with the critical thinking skills and knowledge neces...
BACKGROUND: The integration of Large Language Models (LLMs) into nursing education presents a novel approach to enhancing critical thinking skills. Th...
The cross-sectional area (CSA) of the gastric antrum and its motility rhythm reflects the gastrointestinal function of critically ill patients. Monito...
INTRODUCTION: The provision of optimal care for older adults with complex chronic conditions (CCCs) poses significant challenges due to the interplay ...
OBJECTIVE: Clinical and phenotypic data available to researchers are often found in spreadsheets or bespoke data models. Bridging these to enterprise ...
AIM: To investigate the relationships between digital competence, AI readiness and pedagogical innovation among nurse educators, with a specific focus...
Despite artificial intelligence's (AI) transformative potential in healthcare, nursing workforce scholarship lacks a cohesive theoretical foundation ...
Advancements in medical technology have extended long-term electrocardiogram (ECG) monitoring from the traditional 24Â h to 7-14 days, significantly en...
BACKGROUND: Fostering creativity in nursing education is essential for equipping students with critical thinking and problem-solving skills. Nurse edu...
BACKGROUND: The integration of artificial intelligence (AI) into health care has been rapidly advancing, driven by its potential to enhance nursing ca...
PURPOSE OF REVIEW: Accurate monitoring of respiratory drive and inspiratory effort is crucial for optimizing ventilatory support during acute respirat...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming health care, offering substantial advancements in patient care, clinical workflows, a...
The present study aimed to investigate the trends and research status of global nursing robot research. The global aging population has intensified ...
The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-time nursing surveillance documentation patterns in...
Workplace violence, defined as any disruptive behavior or threat to employees, seriously threatens junior nurses. Compared with senior nurses, junior...
BACKGROUND: Artificial intelligence (AI) integration in nursing simulation education is growing, yet understanding its implementation across simulatio...
All disciplines, including nursing, may be experiencing significant changes with the advent of free, publicly available generative artificial intellig...
Artificial Intelligence (AI) is increasingly transforming nursing administration by enhancing operational efficiency and supporting data-driven decisi...