Nursing

The Associations of Emotional Intelligence, AI Self-Efficacy, and AI Literacy Among Nursing Undergraduates Under the NUR.S.E.S. Framework: Network Analysis.

BACKGROUND: With the rapid development of generative artificial intelligence (AI) and its deep integration into nursing education, nursing students' AI literacy (AS) has become a critical competency for their professional development. However, the patterns of associations among emotional intelligence (EI), AI self-efficacy (AILS), and AS in relation to comprehensive AS remain unclear. OBJECTIVE: B...

Trends and Hot Spots in Cancer Family Resilience: A Bibliometric and Visualization Study.

PROBLEM IDENTIFICATION: Cancer family resilience has become an important interdisciplinary focus in oncology, nursing, and psychosocial care. However, global development patterns, key contributors, and emerging trends have not been systematically examined. LITERATURE SEARCH: A bibliometric analysis of publications related to cancer, family, and resilience indexed in the Web of Science Core Collect...

AI-enabled precision reproductive medicine: a comprehensive review of clinical applications, decision frameworks, and evidence-based implementation.

Infertility represents a growing global health challenge, intensifying the demand for advanced assisted reproductive technology (ART). Artificial inte...

Development and validation of an interpretable machine learning model for early hospital-based differentiation of chikungunya and dengue fever using routine clinical data.

BACKGROUND: Chikungunya fever (CHIKF) and dengue fever are mosquito-borne viral diseases. These infections often circulate in the same regions at the ...

Development of vignette-based evaluation with generative artificial intelligence (VEGA) for nursing students: a pilot study.

BACKGROUND: Advances in AI have introduced new opportunities in nursing education. Vignette-based item sets are valuable for evaluating clinical reaso...

Knowledge, Benefits, and Challenges of ChatGPT Use in Education Among Nursing Students: A Descriptive, Cross-Sectional Study.

BackgroundWith the growing integration of artificial intelligence (AI) tools like ChatGPT in education, it is essential to understand how nursing stud...

Fabricated references due to artificial intelligence hallucination in the European Journal of Cardiovascular Nursing: Also here nurses are the most trustable profession.

Surveying Artificial Intelligence (AI) Attitudes, Use, and Competencies Among Nursing Faculty.

Nursing Students' Ethical Perspectives on Artificial Intelligence: Implications for Nursing Education.

BACKGROUND: As artificial intelligence (AI) increasingly transforms health care delivery, nursing education must prepare students to engage with this ...

Beyond the Prompt: Leveraging Generative AI and Tanner's Model to Decode Clinical Logic in Undergraduate Nursing.

BACKGROUND: Transitioning from theory to clinical practice is a persistent hurdle in undergraduate nursing programs, largely because traditional teach...

Navigating the Artificial Intelligence Integration Challenge: One Nursing School's Journey From Uncertainty to Systematic Action.

BACKGROUND: With the rapid advancement of artificial intelligence (AI) across education and health care, nursing programs are increasingly leveraging ...

Cross-cultural adaptation and psychometric evaluation of the Shinners Artificial Intelligence Perception Scale (SAIP): evidence from Turkish nursing students.

BACKGROUND: Integrating artificial intelligence (AI) technologies into nursing practice is expanding rapidly, yet validated instruments to assess nurs...

Trusting Generative AI for Health Advice: Preregistered Survey Experiment.

BACKGROUND: Generative artificial intelligence (AI) systems are increasingly used for health information seeking, yet it remains unclear how the publi...

AI in the NICU: Considerations for Nursing Practice and Advocacy in Quality Care Outcomes for Patients and Families.

BACKGROUND: Neonatal nurses and APRNs may not recognize when AI drives an alert, recommendation, or summary unless training and policy make it explici...

Association between dynamic digital radiography findings and post-extubation respiratory deterioration: A retrospective exploratory analysis of a prospectively collected ICU cohort.

INTRODUCTION: Dynamic Digital Radiography (DDR) is a novel bedside imaging modality that enables real-time visualization of pulmonary motion with mini...

Biology-informed risk stratification of glioblastoma by integrating MRI-based intratumoral heterogeneity with clinical features: a multicenter validation study.

BACKGROUND: Refined risk stratification before randomization is clinically important for reducing prognostic imbalance across study arms when evaluati...

Emergency Nurses' Experiences With Artificial Intelligence-Driven Triage Clinical Decision Support Systems: A Protocol for a Systematic Review of Qualitative Studies.

INTRODUCTION: Emergency department overcrowding remains a critical global challenge, and artificial intelligence-driven clinical decision support syst...

Construction of a faculty competency model for medical simulation education integrated with GenAI: a multi-method quantitative study based on the perspective of medical students.

BACKGROUND: The rapid advancement of Generative Artificial Intelligence (GenAI) is reshaping the landscape of medical simulation education, necessitat...

Development of a Conversational AI Intervention for Preventing Illegal Filming Among South Korean Adolescents: A Pediatric Health Perspective.

INTRODUCTION: This study aims to develop a Conversational AI-based illegal filming prevention education program (C-IFPE) for South Korean adolescents,...

Perceptions, Attitudes, and Expectations of Surgical Patients Toward Artificial Intelligence-Supported Nursing Care: A Mixed Methods Study.

INTRODUCTION: Artificial intelligence (AI) is increasingly influencing nursing and surgical care. Although AI-supported systems may improve efficiency...