Nursing

Passive Digital Marker-enabled identification and engagement for Alzheimer's disease and related dementias care in primary care: the INCLUDE study protocol.

INTRODUCTION: More than half of older adults living with Alzheimer's disease and related dementias (...

AI at the Bedside: An Argument for a Training Wheels Approach.

Bedside use of artificial intelligence (AI) platforms is increasingly common. Busy clinicians may we...

From Correlation to Clinical Translation: The Biological-Grounding×Translational-Readiness Framework for Artificial Intelligence in Non-Small-Cell Lung Cancer.

Non-small-cell lung cancer (NSCLC) remains the leading cause of cancer death worldwide, and clinicia...

Algorithmic Convergence Across Machine Learning Models Identifies Robust Strategic Priorities for Improving Patient Experience.

BACKGROUND: Improved patient experience is associated with enhanced clinical outcomes. The Hospital ...

Advanced hemodynamic monitoring of the patient with acute heart failure and cardiogenic shock.

PURPOSE OF REVIEW: To provide a practical, physiology-driven framework for advanced hemodynamic moni...

Latent profiles of workplace violence exposure and predictive modeling of sleep disorders among emergency department nurses: A nationwide cross-sectional study.

Workplace violence and sleep disorders are common among emergency department (ED) nurses, yet hetero...

Preliminary Evaluation of a Stage-Structured Retrieval-Augmented Systematic Review Learning Agent for Undergraduate Nursing Students: A Proof-of-Concept Study.

BACKGROUND: Generative artificial intelligence (AI) may support systematic review learning, but gene...

Nursing Process Data for Health Care Cost Prediction Using Machine Learning: Longitudinal Study.

BACKGROUND: Machine learning (ML) has been demonstrated to enhance health care cost prediction by ha...

Digital Predictive Technologies for Fall Risk Assessment, Prediction, and Prevention in Long-Term Care: A Scoping Review.

OBJECTIVES: This scoping review aimed to map the available evidence on digital predictive technologi...

The Challenges of Predicting Rare Outcomes: A Critical Appraisal of Machine Learning Using the Pediatric Resuscitation and Trauma Outcome (PRESTO) Model in a Tanzanian Injury Registry.

BACKGROUND: Injuries are responsible for 950,000 deaths per year among children and adolescents unde...

Gut microbiome dynamics in acute infectious diarrhea: A conceptual framework from acute dysbiosis toward precision restoration (Review).

Acute diarrhea affects >1 billion individuals annually, imposing a major health and economic burden ...

Artificial intelligence adoption in palliative nursing and the future of person-centred care.

Threats of workforce displacement and ethical uncertainty accompany the use of artificial intelligen...

Nurses' Ethical Awareness, Attitudes, Anxiety, and Intention to Use Artificial Intelligence Technology.

Artificial intelligence (AI) is increasingly influencing nursing practice and care delivery. This cr...

Harmonizing complexity and efficiency: Helix Fusion HarmonyNet's breakthrough in EEG-based postoperative delirium recognition.

Postoperative delirium (POD) is a common perioperative complication involving central nervous system...

Artificial Intelligence Assurance in Pain Management Nursing: Protecting Safety, Equity, and Person-Centered Care.

Implementation of a passive bin-based perpetual medication inventory model within ambulatory clinics at an academic medical center.

PURPOSE: Ambulatory clinics manage high-cost medications with little visibility into quantity or mov...

Performance and Hallucination Analysis of Large Language Models on European Anesthesiology Examinations: Cross-Sectional Comparative Study.

BACKGROUND: Large language models (LLMs) have shown promising performance on medical examinations ac...

CAR-T cell therapy in advanced practice nursing management. A Statistical and Large Language Model approach to highlight critical issues.

AimTo gather nurses' perceptions nursing hematologic management on patients undergoing CAR-T cell th...

Artificial Intelligence Responsiveness in Nursing: A Concept Analysis for Advancing Nursing Science.

Artificial intelligence (AI) responsiveness in nursing was conceptually analyzed to clarify its defi...

From digital bench to bedside: exaggerated risks, realistic expectations, and genuine challenges of medical AI.

Artificial intelligence (AI) has become an increasingly prominent force in medicine, driven by rapid...

Nurses' and Nursing Students' Experiences With Generative Artificial Intelligence in Educational and Clinical Settings: A Scoping Review.

This scoping review follows the Arksey and O'Malley five-stage framework: (1) identifying research q...