Nursing

From Using AI to Relating Through AI: A Postphenomenological and Reflexive Inquiry Into Nursing Education in Developing Country Contexts.

Artificial intelligence (AI) technologies are increasingly integrated into nursing education often f...

Predicting the Intention to Sign an Advance Directive: A Machine Learning Model Accounting for Cultural and System-Level Factors.

PURPOSE: To develop a machine learning model for predicting Taiwanese adults' intention to sign an a...

What AI Cannot Teach: An Epistemological Reconceptualisation of the Nurse Educator Role Based on an Analysis of Carper's Ways of Knowing.

The rapid integration of artificial intelligence into healthcare and education is transforming how n...

From Triage to Intensive Care: A Qualitative Study of Nurses' Experiences with AI-Enabled Decision Support.

BACKGROUND: Artificial intelligence (AI)-enabled decision support systems are increasingly used in e...

Hospital-Based Robotic Applications in Nursing Practice: A Scoping Review.

INTRODUCTION: The integration of robots into clinical practice requires careful consideration of the...

Reclaiming Nursing's Professional Identity in the Era of Artificial Intelligence.

An AI-Driven Multi-Omics Framework Identifies CASP8 as a Clinically Actionable Pyroptosis Biomarker in Bladder Cancer.

Despite rapid advances in multi-omics technologies, translating candidate biomarkers into clinical p...

Strengthening Nurse Manager Leadership Through Technology-Driven Solutions.

Nurse managers play a pivotal role in health care, serving as their units' chief operational and cul...

Artificial intelligence for environmental sustainability across sectors: a scoping review and evidence map for nursing and health policy.

BACKGROUND: Health systems are expected to reduce environmental impacts while preserving safe, conti...

Use of a Conversational Agent for Training Mental Health Professionals in Suicide Safety Planning: Pilot Feasibility and Acceptability Study.

BACKGROUND: Safety planning is recognized as one of the most effective interventions for reducing su...

Iterative Multidisciplinary Development and Evaluation of a Patient-Facing SDoH Chatbot Using Synthetic Data Simulation.

BACKGROUND: Systematic collection of social determinants of health (SDoH) data remains inconsistent ...

Lung ultrasound in interstitial lung disease: from bedside screening to prognostic integration and AI-assisted standardization.

Interstitial lung diseases (ILDs) require early recognition and longitudinal assessment, yet repeate...

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations.

Primary liver cancer presents substantial management challenges across the surgical trajectory, incl...

Effect of artificial intelligence on nursing documentation and patient safety.

Nursing documentation is a fundamental component of safe clinical practice, supporting effective com...

Crossover effect: causal machine learning reveals opposing mortality responses to mean arterial pressure targets among phenotypically distinct hypertensive patients with septic shock.

AIMS: To quantify the heterogeneity of treatment effects of higher versus standard MAP targets on 28...

Which machine learning algorithms are best at predicting eating disorder tendencies among nursing students in China?

BACKGROUND: Nursing students are at high risk for developing eating disorders (ED). However, methods...

The readiness-anxiety paradox in artificial intelligence adoption among nursing students: a multidimensional regression analysis.

AIM: This study examined the relationship between medical artificial intelligence readiness and AI-r...

Artificial intelligence-enhanced nurse navigation for monitoring and care of long COVID.

INTRODUCTION: Long COVID is a multisystem condition with challenging diagnosis. Nurse-navigation, a ...

Development and external validation of an interpretable machine learning model for predicting prolonged postoperative ICU length of stay in coronary artery bypass grafting patients using MIMIC-IV 3.1 and eICU-CRD 2.0.

BACKGROUND: Prolonged postoperative intensive care unit (ICU) length of stay (LOS) after coronary ar...

Association between sources of nutrition information and self-perceived nutrition competence of healthcare professionals: a cross-sectional study.

BACKGROUND: Healthcare professionals other than dietitians are widely perceived as credible sources ...

Real-time EEG-based epileptic seizure prediction using artificial intelligence: A systematic review.

BACKGROUND: Epilepsy affects approximately 50 million people worldwide. While AI-driven seizure pred...