Nursing

The Effect of ChatGPT-Assisted Medication Dosage Calculation Training on Accuracy, Time, and Learning Satisfaction Among Nursing Students: A Quasi-Experimental Study.

Medication dosage calculation is a vital clinical skill essential for patient safety. However, many nursing students experience difficulties mastering this competency due to mathematical anxiety and limited practice. Artificial intelligence (AI)-based tools, such as ChatGPT, offer interactive and learner-centered educational experiences by providing personalized guidance and immediate feedback. Th...

A structural equation modeling based on the conservation of resources theory: Analyzing the relations between artificial intelligence attitude, employability, and career stress in nursing students.

BACKGROUND: The rapid rise of artificial intelligence (AI) in healthcare is reshaping nursing education and practice. There is no research examining the structural relationships between attitudes toward AI, perceived future employability, and career stress among nursing students, representatives of the healthcare sector. AIM: To examine the associations among AI attitude, perceived future employab...

Integrating artificial intelligence into nursing practice: Development and clinical evaluation of the NURSYA care model based on Levine's Conservation Principles.

BACKGROUND: Although artificial intelligence (AI) is increasingly used in healthcare, its integration with established nursing theories remains limite...

Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States.

For patients experiencing cancer, nurse navigation can ease the burden of complex care by enhancing coordination of health services and patient outcom...

Machine learning for predicting macrophage activation syndrome in adult patients with Still's disease.

BACKGROUND: Macrophage activation syndrome (MAS) secondary to Still's disease is a potentially fatal complication, associated with mortality rates exc...

Reimagining critical thinking in the age of AI: Implications for nursing education and practice.

The rapid integration of generative artificial intelligence (GenAI) into undergraduate nursing education has prompted significant debate regarding its...

Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units.

BACKGROUND: Achieving safe glycemic targets in intensive care remains difficult due to rapidly changing physiology, treatment effects, and measurement...

Development and temporal validation of an interpretable point score for in-hospital mortality in CLL/SLL using the U.S. National Inpatient Sample, 2016-2022.

In-hospital mortality among patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) is ∼6%, yet no validated, transparent beds...

Possible quality indicators for clinical infectious diseases consultations - results from a hybrid Delphi-nominal group approach and scenario study.

SCOPE: Infectious diseases consultation (IDC) services contribute to optimized infection management and are associated with improved outcomes, particu...

Cardiogenic Shock Revisited: From Hemodynamic-Centric to Multimodal Precision Care.

Cardiogenic shock (CS) remains a major clinical challenge, with persistently high short-term mortality despite advances in reperfusion therapy, pharma...

Nurses confront artificial intelligence-generated health information at the bedside: A case study.

As artificial intelligence (AI) tools increasingly shape how patients access health information, nurses must navigate new bedside tensions. This case ...

Voices of Innovation: Reflective Report on Integrating Artificial Intelligence-Simulated Mental Health Patient Scenarios Into Undergraduate Nursing Education in the United Arab Emirates.

Limited clinical placements for mental health courses in the United Arab Emirates have made it difficult to provide consistent experiential learning f...

Trustworthy AI-Augmented Objective Structured Clinical Examinations in Nursing Education: Taiwan-Japan Viewpoint on 5 AI Roles, Governance, and Cross-Border Implementation.

Generative artificial intelligence (AI) is arriving in high-stakes assessment; however, governance, validity evidence, and faculty readiness remain un...

Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study.

BACKGROUND: The global nursing shortage, exacerbated by heavy workloads and high turnover rates associated with the COVID-19 pandemic, continues to un...

Artificial intelligence literacy and related factors among nursing undergraduates in Northeast China.

Experiences and Perspectives of Nursing Students and Educators on Artificial Intelligence in Nursing Education: A Qualitative Systematic Review and Meta-Synthesis.

BACKGROUND: Artificial intelligence (AI) is transforming nursing education by reshaping how knowledge is delivered, acquired, and applied. Synthesizin...

Artificial Intelligence Models for Predicting Triage in Emergency Departments: Seven-Month Retrospective Comparative Study of Natural Language Processing, Large Language Model, and Joint Embedding Predictive Architectures.

BACKGROUND: Triage errors in emergency departments (EDs), including undertriage and overtriage, pose significant risks to patient safety and resource ...

Evaluating Large Language Models-Generated Health Education Materials for Discharged Patients with Diabetes: A Comparative Analysis.

BACKGROUND: Diabetes is a chronic condition requiring long-term management, and continuous health education is vital for improving disease awareness a...

The Role of Artificial Intelligence for Intimate Partner Violence Prevention: A Systematic Review.

INTRODUCTION: Intimate partner violence (IPV), encompassing physical, sexual, emotional and economic abuse, remains a pervasive global health concern....

Triage Nurses' Perceptions of Artificial Intelligence: A Cross-Sectional Study.

INTRODUCTION: Emergency department crowding and increasing patient complexity challenge traditional triage models. Artificial intelligence may support...