Nursing

Nurses' attitudes toward artificial intelligence applications and their clinical decision-making competence: A cross-sectional study.

BACKGROUND: The increasing integration of artificial intelligence (AI) into healthcare has generated interest in its potential role within nursing practice, particularly in relation to clinical decision-making and care delivery processes. OBJECTIVES: This study aimed to examine the relationship between nurses' attitudes toward AI and their clinical decision-making tendencies. DESIGN: This was a cr...

Early prediction of pressure injury risk in hospitalized patients using supervised machine learning models based on nursing records.

This study aimed to employ supervised models for predicting pressure injuries in hospitalized patients using data collected within the first eight hours after admission, thus providing a tool for early assessment and prevention. The dataset included 446 patients admitted to multiple hospital wards at Félix Bulnes Clinical Service Hospital in Santiago, Chile, between January and December 2022. Afte...

Integrated Health Technologies in Heart Failure: A Scientific Statement From the Heart Failure Society of America and the American Association of Heart Failure Nurses.

Integrated health technologies (IHTs) have emerged as promising tools for improving heart failure (HF) management by facilitating care coordination an...

Effectiveness of AI- and VR-based simulation with traditional teaching in healthcare education: A network meta-analysis.

AIMS: (i) To summarize the application scenarios and teaching models of AI and VR in healthcare education. (ii) To compare teaching outcomes between A...

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 essential for ensuring patient safety. However, t...

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 examples of AI applications driven by machine or deep ...

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 a noninvasive, accessible, repeatable, efficient, ...

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 glaring gap remains in understanding how AI-mediated ...

Self-driving bioprinting laboratories.

The severe shortage of donor organs and limitations of current disease models highlight the urgent need for transformative strategies in tissue engine...

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 adequate care for geriatric inpatients in acute care...

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, it is limited by the skills required to acquire ...

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. Existing linear scoring systems lack sufficient accuracy...

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). Greenspace estimates, however, typically represent all t...

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 care settings and are associated with adverse health ...

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 based on Artificial Intelligence (DRAAI), and to ...

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 promise, calling for data interpretation to facilitate t...