Nursing

Leveraging machine learning in nursing: innovations, challenges, and ethical insights.

AIM/OBJECTIVE: This review aims to provide a comprehensive analysis of the integration of machine le...

Intersectionality in Maternal Health: Gender, Labor, and Structural Barriers With a Focus on Korea.

Drawing on intersectional feminist theory, this review interrogates maternal health disparities thro...

Influence of the CONCERN Early Warning System on Unanticipated ICU Transfers, In-Hospital Mortality, and Length of Stay: Results from a Multi-site Pragmatic Randomized Controlled Clinical Trial.

Communicating Narrative Concerns Entered by RNs Early Warning System (CONCERN EWS) is a machine-lear...

Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training.

This study explores nursing students' stress responses while they are being trained in a mixed reali...

A Comparison of Machine Learning-Based Models and a Simple Clinical Bedside Tool to Predict Morbidity and Mortality After Gastrointestinal Cancer Surgery in the Elderly.

Frailty in the elderly population is associated with increased vulnerability to stressors, including...

Scripted Remedies: Leveraging AI and Pop Culture in Nursing Pharmacology Case Studies.

BACKGROUND: Nursing pharmacology, essential for patient safety, benefits from innovative teaching me...

Mapping Artificial Intelligence Research Trends in Critical Care Nursing: A Bibliometric Analysis.

BACKGROUND: Recent development in AI-driven predictive analytics have demonstrated potential to enha...

Nursing Educators' Perspectives on the Integration of Artificial Intelligence Into Academic Settings.

BACKGROUND: The integration of artificial intelligence (AI) into education has the potential to revo...

Use of machine learning to predict creativity among nurses: a multidisciplinary approach.

BACKGROUND: In this era of rapid development in science and technology, creativity has become an imp...

Nursing Students' Perceptions of AI-Driven Mental Health Support and Its Relationship with Anxiety, Depression, and Seeking Professional Psychological Help: Transitioning from Traditional Counseling to Digital Support.

: The integration of artificial intelligence (AI) into mental health care is reshaping psychological...

2024: A Year of Nursing Informatics Research in Review.

Each year, nursing informatics researchers contribute to nursing and health informatics knowledge. T...

Artificial intelligence guided imaging as a tool to fill gaps in health care delivery.

Deep vein thrombosis (DVT) causes significant morbidity/mortality and timely diagnosis often via ult...

The impact of ChatGPT training in the nursing process on nursing students' problem-solving skills, attitudes towards artificial intelligence, competency, and satisfaction levels: Single-blind randomized controlled study.

AIM: This study aimed to evaluate the impact of training on the use of ChatGPT in the nursing proces...

Building competency in artificial intelligence and bias mitigation for nurse scientists and aligned health researchers.

Healthcare systems are increasingly integrating artificial intelligence and machine learning (AI/ML)...

The mediating digital literacy and the moderating role of academic support in the relationship between artificial intelligence usage and creative thinking in nursing students.

BACKGROUND: Artificial intelligence can be an important tool in developing creative thinking while s...

Organoid-Guided Precision Medicine: From Bench to Bedside.

Organoid technology, as an emerging field within biotechnology, has demonstrated transformative pote...

Enhancing Chronic Pain Nursing Diagnosis Through Machine Learning: A Performance Evaluation.

This study proposes an evaluation of the efficacy of machine learning algorithms in classifying chro...

Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.

Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...

National Association of School Nurses Position Brief: Use of Artificial Intelligence in School Health.

A multi-site study of clinician perspectives in the lifecycle of an algorithmic risk prediction tool.

Recent advancements in the performative capacities of artificial intelligence (AI), machine learning...

IDENTIFYING A SEPSIS SUBPHENOTYPE CHARACTERIZED BY DYSREGULATED LIPOPROTEIN METABOLISM USING A SIMPLIFIED CLINICAL DATA ALGORITHM.

Background: Cholesterol metabolism is dysregulated in sepsis contributing to patient heterogeneity. ...