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 sa...

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 funct...

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 a...

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" op...

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 b...

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 diab...

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 ...

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 scientifi...

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-m...

In the twilight zone: between AI and nursing.

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 stude...

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...

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 pa...

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 b...

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 f...

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 a...

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, im...

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...

A Systematic Review of Features Forecasting Patient Arrival Numbers.

Adequate nurse staffing is crucial for quality healthcare, necessitating accurate predictions of pat...

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 un...

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 managemen...