Nursing

Artificial intelligence in genitourinary oncology: publication trends and systematic review.

OBJECTIVE: To conduct an analysis of publication trends and a systematic review of randomized contro...

Augmenting Pediatric Care With Artificial Intelligence: Opportunities and Responsibilities for Nurse Practitioners.

BACKGROUND: Artificial intelligence (AI) is emerging as a critical tool for nurse practitioners deli...

Comment on "Effectiveness of AI-assisted ESI triage on accuracy and selected outcomes in emergency nursing: A systematic review".

Automated neonatal sleep positioning assessment by video monitoring and machine learning.

BACKGROUND: Proper positioning during sleep is critical for musculoskeletal and neurological develop...

Generative artificial intelligence for outcome prediction in critical care: the future is now?

PURPOSE OF REVIEW: Artificial intelligence (AI) is expected to transform critical care in fundamenta...

AI Utilization and Clinical Judgment: Predictors of Caring Behavior Among Nursing Students.

BACKGROUND: Nursing education requires integrating technology, clinical reasoning, and compassionate...

Knowledge, attitudes, and practices toward artificial intelligence among health sciences students: A cross-sectional study in Palestine.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare education and cl...

[Research on electrical impedance tomography for pediatric pneumonia based on an improved radial basis function neural network].

In the diagnosis of pediatric pneumonia, the weak conductivity contrast of lung tissues leads to lim...

Using AI to identify in-hospital falls: a comparative analysis with incident reports and manual chart review.

INTRODUCTION: Falls remain a problem in hospitalised patients, especially in older adults. In-hospit...

Nurses' Experiences Using AI in Clinical Practice: Systematic Review.

BACKGROUND: Artificial intelligence (AI) tools are increasingly used in clinical settings, yet most ...

Edge-AI enabled secure IoT framework for real-time patient monitoring and anomaly detection in smart healthcare systems.

Hospitals desire knowledge of bedside sensors in real time but they do not wish to send everything t...

Conscious justification in using artificial intelligence: A concept analysis for global nursing practice.

BACKGROUND: Artificial intelligence (AI) systems increasingly mediate nursing decisions globally, fr...

Smart Systems, Saved Lives: Using AI to Identify Deteriorating Sepsis Patients in Adult Critical Care.

Sepsis remains one of the leading causes of mortality in adult critical care, representing a dysregu...

From clusters to clinical rules: unsupervised machine learning identifies four newborn hearing phenotypes with bedside risk stratification.

OBJECTIVE: To identify risk patterns among high-risk newborns associated with hearing screening fail...

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 integ...

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 ...

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 assis...

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 infe...

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 it...

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 educati...

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