Nursing

The Importance of Artificial Intelligence Literacy in Nursing and Midwifery to Achieve the Sustainable Development Goals: Perspectives From the 80th Session of the United Nations General Assembly.

The Effectiveness of Artificial Intelligence-Enhanced Interventions for Cancer Patients: A Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: The incidence of cancer continues to increase, and cancer patients still suffer from a r...

Generative AI adaptive narratives to enhance nursing diagnostic reasoning: a classroom innovation.

Machine Learning Models for Predicting Radiation Dermatitis in Breast Cancer: A Scoping Review.

BACKGROUND: Artificial intelligence, particularly machine learning, has great potential to improve h...

Constructing a comprehensive nursing risk assessment model for older adults inpatients with multiple chronic conditions: A multicenter cross-sectional study.

AIM: To build a comprehensive nursing risk model for older adults inpatients with multiple chronic c...

Subphenotypes in acute respiratory distress syndrome: A scoping review across clinical, biological, computational, imaging, omics, and artificial intelligence approaches.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous syndrome with high mortali...

Generative AI in simulation debriefings: an exploratory study using the Team-FIRST framework and qualitative feedback from simulation experts and learners.

BACKGROUND: Effective debriefings in simulation-based education require accurate observation of team...

Attitudes toward artificial intelligence and impostor phenomenon among nursing students: A five-country cross-sectional study.

BACKGROUND: AI tools are increasingly visible in nursing education and practice, yet student exposur...

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...

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 patien...

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 (H...

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 educ...

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...