Nursing

Reaffirming Bedside Shock Recognition through Machine-Learning Refinement.

Enhancing anesthesia monitoring training: a SPOC and Gagné's model hybrid personalized by artificial intelligence.

BACKGROUND: High-quality training in anesthesia nursing-particularly in intraoperative monitoring-is...

Community Health Nurses' Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey.

BACKGROUND: Artificial intelligence (AI) continues to expand into nursing and health care. Many exam...

Point-of-care ultrasound in the modern era of emergency medicine: a narrative review of the recent literature.

PURPOSE OF REVIEW: Point-of-care ultrasound (POCUS) has transformed emergency medicine by providing ...

Teacher charisma and AI-mediated education: Effects on EFL learners' attitudes and self-efficacy.

Although Artificial Intelligence (AI) is being rapidly incorporated into the education sector, a gla...

Self-driving bioprinting laboratories.

The severe shortage of donor organs and limitations of current disease models highlight the urgent n...

Identifying Key Predictors of Appropriate Discharge Destinations for Older Inpatients in Acute Care: Scoping Review.

BACKGROUND: Postacute care (PAC) services are important to ensure functional recovery and provide ad...

Nursing at the Interface: Care, Control and Artificial Intelligence (AI).

The effect of AI-assisted bedside echocardiography on inpatient care: a prospective trial.

AIMS: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However...

Dharma: A novel, clinically grounded machine learning framework for pediatric appendicitis-Diagnosis, severity assessment and evidence-based clinical decision support.

Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existi...

Assessing greenspace and cardiovascular disease risk through deep learning analysis of street-view imagery in the US-based nationwide Nurses' Health Study.

BACKGROUND: Living near greenspace is associated with decreased cardiovascular disease (CVD). Greens...

Leveraging an AI-Driven Voice Companion to Enhance Mental Health in Older Adults in Post-Acute and Long-Term Care Settings: A Feasibility Study.

Loneliness, depression, and anxiety are prevalent among older adults in post-acute and long-term car...

Integrating Artificial Intelligence in Nursing Practice With Decubitus Risk Prediction Alerts: A Pilot Process Evaluation.

AIMS: To evaluate the acceptability and feasibility among nurses of Decubitus Risk Prediction Alerts...

A latent profile analysis of artificial intelligence literacy among undergraduate nursing students: a cross-sectional study.

Comment on "The Effect of Artificial Intelligence in Promoting Positive Nursing Practice Environments: Mixed Methods Systematic Review".

Artificial intelligence and precision medicine.

From genome sequencing to single-cell multi-omics profiling, bioinformatic data holds massive promis...

Attitudes of psychiatric nurses towards the integration of artificial intelligence applications to clinical care: a qualitative study in China.

BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psy...

Optimisation of Maslow's hierarchy of needs-based survey form for nursing home residents using machine learning.

The global increase in the elderly population necessitates accurate assessment of the needs of indiv...

Insights Into Factors Affecting Nurses' Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study.

BACKGROUND: Assessing the current landscape of nurses' knowledge and attitudes is a critical first s...

Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review.

BACKGROUND: Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that ca...

Construction of a classification system for long-term care service needs among the elderly based on cluster analysis and machine learning: A multi-center, cross-sectional study in central China.

BACKGROUND: Rapid global aging has led to an increasing demand for long-term care services for the e...