Nursing

Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes

The increasing shortage of nursing staff and the acute risk of falls in nursing homes pose signifi...

Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams

In-basket message interactions play a crucial role in physician-patient communication, occurring d...

Virtual reality with artificial intelligence-led scenarios in nursing education: a project evaluation.

AIM: To provide insights into the optimal use of virtual reality (VR) in nursing education by evalua...

Community nursing and the digital technology revolution: the past, present and future.

While very much in its infancy in terms of becoming an established tool, the use of digital technolo...

Large Language Models in Pediatric Education: Current Uses and Future Potential.

Generative artificial intelligence, especially large language models (LLMs), has the potential to af...

Evaluation of End-User Participation in Artificial Intelligence Nursing Projects.

Artificial Intelligence (AI) projects in healthcare, particularly in nursing, currently gain relevan...

Large Language Models in Nursing Education: State-of-the-Art.

This study explores the integration of Large Language Models (LLMs) into nursing education, highligh...

Evaluation of Machine Learning Algorithms for Pressure Injury Risk Assessment in a Hospital with Limited IT Resources.

Clinical decision support systems for Nursing Process (NP-CDSSs) help resolve a critical challenge i...

Development of a Data Model to Predict Nursing Workload Using Routine Clinical Data.

The effective management of human resources in nursing is fundamental to ensuring high-quality care....

AI integration in nursing practice: striking a balance between technology and the human touch.

Surveillance of Health Care-Associated Violence Using Natural Language Processing.

BACKGROUND AND OBJECTIVES: Patient and family violent outbursts toward staff, caregivers, or through...

Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review.

Rapid advances in artificial intelligence (AI) have reshaped healthcare, including psychiatric nursi...

Nursing Education and Artificial Intelligence.

The American Association of Colleges of Nursing (AACN) is shifting the nursing education paradigm to...

AI and Big Data: Current and Future Nursing Practitioners' Views on Future of Healthcare Education Provision.

Artificial Intelligence (AI) is defined as "the capacity of a computer, robot, programmed device, or...

Evaluating and Incorporating Generative AI in Nursing Informatics and Data Science Graduate Courses.

The disruptive effect and lasting implications of generative artificial intelligence ("Gen AI") tool...

Artificial Intelligence in Nursing: Perspectives from Norwegian Nurses.

Nurses continue to face challenges in leading health information technology innovations such as Arti...

Nurses' Roles in Artificial Intelligence Implementation: Results from a Mixed-Methods Study.

We aimed to understand nursing informaticists' perspectives on key challenges, questions, and opport...

Development of an Intelligent Health Education System Based on Large Language Model for Elderly Pulmonary Aspiration Prevention.

As the aging process accelerates, the incidence of chronic diseases in the elderly is rising. As a r...

Staff Management with AI: Predicting the Nursing Workload.

The effective management of human resources in nursing fundamental to ensuring high-quality care. Th...

Fairness in Classifying and Grouping Health Equity Information.

This paper explores the balance between fairness and performance in machine learning classification,...

Unveiling Fall Risk Factors: Nurse-Driven Corpus Development for Natural Language Processing.

Hospital-acquired falls are a continuing clinical concern. The emergence of advanced analytical meth...