Nursing

Screening and Evaluation of Post-stroke Dysphagia: Insights from Neurology, Artificial Intelligence and Data Science-A Scoping Review.

Post-stroke dysphagia (PSD) affects approximately 42% of acute stroke patients, increasing hospitalization costs and length of stay. Early identification improves outcomes, yet many patients-especially in low-resource settings-lack access to gold-standard evaluations. This scoping review explores the integration of artificial intelligence (AI) and data science-defined as the interdisciplinary use ...

Multifactorial predictive model for nurses' intention to correct online health misinformation: A machine-learning and SHAP analysis.

OBJECTIVES: To develop and interpret a predictive model that detects key factors associated with nurses' intention to rectify online health misinformation, and to offer an evidence foundation for targeted interventions that strengthen frontline responses to misinformation. STUDY DESIGN: A nationwide cross-sectional survey that incorporated machine-learning modelling and explainable artificial inte...

Machine learning-based detection of missed inspiratory efforts using esophageal pressure during noisy pressure support ventilation.

BACKGROUND: Missed inspiratory efforts represent one of the most frequent and clinically relevant forms of patient-ventilator asynchrony during assist...

Predictive analytics and risk stratification models in internal medicine: from risk scores to real-time machine learning.

Internal medicine involves high-stakes, time-sensitive decisions (such as triaging acute illnesses, escalating care, providing thromboprophylaxis, pla...

Digital divide in clinical and operational artificial intelligence adoption and implementation stages: US hospital diffusion patterns and AI deserts.

OBJECTIVES: We examine how hospital characteristics relate to clinical and operational artificial intelligence (AI) adoption and implementation stages...

Artificial Intelligence in Disaster Triage: Enhancing Emergency Nursing Practice Through Decision Support.

Effective triage during mass casualty incidents is critical, requiring emergency nurses to make rapid decisions in high-stress, resource-limited envir...

EMI Cancellation for Shielding-Free Ultra-Low-Field MRI.

OBJECTIVE: Ultra-Low-Field Magnetic Resonance Imaging (ULF MRI) offers low cost and portability but suffers from electromagnetic interference (EMI) in...

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 framed as neutral tools that enhance learning effic...

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 advance directive (AD) and to identify the psychoso...

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 nurses teach, learn and acquire knowledge. Despite ...

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 emergency departments and intensive care units to s...

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

INTRODUCTION: The integration of robots into clinical practice requires careful consideration of their alignment with nursing workflows, patient needs...

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 practice for bladder cancer remains challenging due...

Strengthening Nurse Manager Leadership Through Technology-Driven Solutions.

Nurse managers play a pivotal role in health care, serving as their units' chief operational and cultural leader. They are responsible for creating wo...

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, continuous and equitable care. Artificial intelligence ...

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 suicidal behaviors. The quality of safety plans stro...

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 across healthcare settings, despite its critical i...

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 repeated high-resolution computed tomography (HRCT) is of...

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, including high recurrence rates, prolonged rehabilitat...