Nursing

Predicting Agitation-Sedation Levels in Intensive Care Unit Patients: Development of an Ensemble Model.

BACKGROUND: Agitation and sedation management is critical in intensive care as it affects patient safety. Traditional nursing assessments suffer from low frequency and subjectivity. Automating these assessments can boost intensive care unit (ICU) efficiency, treatment capacity, and patient safety.

Integration of Virtual Technology and Artificial Intelligence Improves Satisfaction, Patient Safety, and Nursing Workforce Efficiency.

BACKGROUND: Virtual care technology including artificial intelligence (AI) may augment nursing functions creating flexibility in staffing that reduces workforce shortages and enhances patient safety.

Fostering Informed Consent and Shared Decision-Making in Maternity Nursing With the Advancement of Artificial Intelligence.

Artificial intelligence (AI), defined as algorithms built to reproduce human behavior, has various applications in health care such as risk prediction...

Intelligent Verification Tool for Surgical Information of Ophthalmic Patients: A Study Based on Artificial Intelligence Technology.

OBJECTIVE: With the development of day surgery, the characteristics of "short, frequent and fast" ophthalmic surgery are becoming more prominent. Howe...

The Role of Artificial Intelligence in Supporting the Core Mission of Nursing.

Artificial intelligence (AI) has the potential to revolutionize nursing practice and care delivery by streamlining workflows, enhancing patient insigh...

Robot-Assisted Approach to Diabetes Care Consultations: Enhancing Patient Engagement and Identifying Therapeutic Issues.

: Diabetes is a rapidly increasing global health challenge compounded by a critical shortage of diabetes care and education specialists. Robot-assiste...

Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities.

Disabled persons demanding healthcare is a developing global occurrence. The support in longer-term care includes nursing, intricate medical, recovery...

The content analysis used in nursing research and the possibility of including artificial intelligence support: A methodological review.

BACKGROUND: This article explores how AI supports nurses by employing content analysis for scientific nursing research.

Development and usability evaluation of a nurse-led clinical decision support system (AI-AntiDelirium) for management of intensive care unit delirium: A mixed methods study.

BACKGROUND: Clinical decision support systems (CDSS) have been identified to aid clinical decision-making, but few studies focus on the application of...

Nursing Student and Faculty Attitudes, Perceptions, and Behavioral Intentions of Artificial Intelligence Use in Nursing Education: An Integrative Review.

AIM: This integrative review critiques and synthesizes current research on nursing faculty and students' attitudes, perceptions, and behavioral intent...

Is artificial intelligence an opportunity or a threat in nursing care?: An in-depth phenomenological study.

INTRODUCTION: In the contemporary landscape, the use of artificial intelligence (AI) in nursing care has sparked ongoing debates regarding its merits ...

Generative Artificial Intelligence Use in Healthcare: Opportunities for Clinical Excellence and Administrative Efficiency.

Generative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance patient care, personalize treatment options, train h...

Integrating generative artificial intelligence in a writing intensive course for undergraduate nursing students.

While generative artificial intelligence (AI) has been around for many years, it has only recently become available for use by the public. This powerf...

Exploring artificial intelligence literacy and the use of ChatGPT and copilot in instruction on nursing academic report writing.

BACKGROUND: Nursing education increasingly emphasizes academic writing and communication, critical for delivering quality patient care and professiona...

Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study.

BACKGROUND: Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chinese National Nursing Licensin...

Assessing the Effectiveness of Interactive Robot-Assisted Virtual Health Coaching for Health Literacy and Disease Knowledge of Patients with Chronic Kidney Disease: Quasiexperimental Study.

BACKGROUND: Chronic kidney disease (CKD) imposes a significant global health and economic burden, impacting millions globally. Despite its high preval...

Global research trends in the application of artificial intelligence in oncology care: a bibliometric study.

OBJECTIVE: To use bibliometric methods to analyze the prospects and development trends of artificial intelligence(AI) in oncology nursing from 1994 to...

A Systematic Review of Features Forecasting Patient Arrival Numbers.

Adequate nurse staffing is crucial for quality healthcare, necessitating accurate predictions of patient arrival rates. These forecasts can be determi...

A machine learning model to predict the risk factors causing feelings of burnout and emotional exhaustion amongst nursing staff in South Africa.

BACKGROUND: The demand for quality healthcare is rising worldwide, and nurses in South Africa are under pressure to provide care with limited resource...

A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification.

Nursing activity recognition has immense importance in the development of smart healthcare management and is an extremely challenging area of research...