Nursing

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 End-User Participation in Artificial Intelligence Nursing Projects.

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

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...

Development of a Mapping Table for Nursing Notes Based on Nurses' Concerns in ICU Patients.

This study aimed to develop a mapping table that connects nursing notes with standard terminology, f...

Mapping Trust in Nurses with Dimensions of Trustworthy Artificial Intelligence: A Scoping Review.

This scoping review examines the concept of trust in nursing and its potential application in develo...

Development of a Nursing Diagnosis/Record Generative AI System Based on Virtual Patient Data.

This study investigates how to reduce nurses' repetitive electronic nursing record tasks. We applied...

The Application Artificial Intelligence-Assisted Robot System in Nursing Follow-up of Discharged Patients.

To construct a robot intelligent discharge follow-up platform and explore its application effects in...

The Application of Generative AI for Nursing Education.

Building a nursing education platform through Microsoft Power Apps. The main purpose is to provide c...

Machine Learning-Based Prediction Models of Mortality for Intensive Care Unit Patients Using Nursing Records.

This study aimed to develop ICU mortality prediction models using a conceptual framework, focusing o...

Comparing Artificial Intelligence-Based Versus Conventional Endotracheal Tube Monitoring Systems in Clinical Practice.

Endotracheal tube dislodgement is a common patient safety incident in clinical settings. Current cli...

Incorporation of Generative AI in an Introductory Nursing Informatics Course.

This case study describes how one educator approached the incorporation of generative AI into a grad...

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...

Fairness in Classifying and Grouping Health Equity Information.

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

Staff Management with AI: Predicting the Nursing Workload.

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

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...

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...

Artificial Intelligence in Nursing: Perspectives from Norwegian Nurses.

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

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...

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...

Nursing Education and Artificial Intelligence.

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