Nursing

The voice of decompensation: an explainable machine learning approach to assessing heart failure severity.

AIMS: Heart failure (HF) is characterized by high morbidity and frequent hospital readmissions, high...

Reimagining nursing practice in the era of AI: a qualitative systematic review and meta-synthesis of nurses' lived experiences.

INTRODUCTION: The integration of artificial intelligence (AI) into healthcare is transforming nursin...

Operationalizing the Pan-Canadian Health Data Charter Through Common Standards and AI-Enabled Nursing Data.

Principle 4 of the Pan-Canadian Health Data Charter calls for common standards to enable interoperab...

Expert Consensus Statement on Acoustic Metrics for Swallowing Dysfunction Screening in Older Adults: A Delphi Study.

OBJECTIVE: Swallowing dysfunction poses significant health risks for older adults. Early detection i...

Effectiveness of Artificial Intelligence-Based Nursing Interventions for Chronic Illnesses Care: An Umbrella Review.

BACKGROUND: Artificial intelligence (AI)-based nursing interventions are increasingly being employed...

Latent profiles of ethical sensitivity and correlates in nursing interns.

BackgroundEthical sensitivity is a foundational competency that enables nursing interns to recognize...

When Care Becomes Digital: Shared Experiences in Psychiatric Nursing-A Phenomenological Study.

AIM: This qualitative study explores how digitalisation primarily through electronic health records ...

Advancing Continuous KRT Education: Simulation and Technology-Enhanced Learning in Contemporary Practice.

Continuous renal replacement therapy (CRRT) is a technically complex, high-risk ICU therapy in which...

Embodied Intelligence Applications in Health Care Populations: Scoping Review.

BACKGROUND: Embodied intelligence-artificial intelligence instantiated in physical or virtual bodies...

Computational tools for personalizing treatment of acute respiratory failure, from machine learning to digital twins: a narrative review.

Patient-specific computational tools hold great promise for the development of more personalized tre...

Assessing Digital Literacy Among Nursing Faculty Under the Artificial Intelligence-Enhanced Technological Pedagogical Content Knowledge Framework: Cross-Sectional Survey Analysis.

BACKGROUND: Digital literacy has become a core competence for nursing faculty to adapt to the digita...

Development and Psychometric Evaluation of Nurses' Ethical Acceptance of Artificial Intelligence Scale in Clinical Practice: A Methodological Study.

Nurses, frontline providers, must ethically adopt AI in care, but no validated tool exists to assess...

Predicting Intramyocardial Hemorrhage Before Reperfusion in STEMI Patients With Intrinsically Explainable Artificial Intelligence.

BACKGROUND: Intramyocardial hemorrhage (IMH) complicates approximately 40% of reperfused ST-segment ...

Disparities in Engagement with an Artificial Intelligence-Based Chat Intervention Post-appendectomy.

PURPOSE: Artificial intelligence (AI)-based text messaging, or "chat," in post-appendectomy care has...

Re: "A Dynamic Machine Learning Approach to Complement Nurse-Led Clinics in Identifying High-Risk Patients with Intermittent Claudication".

Multimodal assessment of minimally conscious state and cognitive motor dissociation in neurocritical care: A critical review.

Minimally conscious state (MCS) is characterized by inconsistent but clearly discernible clinical an...

BoneContourNet-Vis: a lightweight end-to-end deep learning framework for real-time ultrasound bone imaging in orthopedic surgery.

BACKGROUND AND OBJECTIVE: Real-time ultrasound bone visualization is crucial for orthopedic surgical...

Predicting kinesiophobia in knee osteoarthritis: a head-to-head comparison between machine learning and traditional regression models.

BACKGROUND: Although machine learning (ML) holds promise for improving clinical identification, its ...

Profiles of artificial intelligence literacy and associations with evidence-based practice competence among nurses: a latent profile analysis.

AIMS: To understand the current state of nurses' artificial intelligence (AI) literacy. This study e...

Artificial intelligence literacy and influencing factors among clinical nurses in southeastern China: a latent profile analysis.

BACKGROUND: The rapid integration of artificial intelligence (AI) in clinical settings presents unpr...

Measuring Return on Investment for Professional Development Activities: 2026 Known Cost of Outcomes Table and Generative AI Implications.

Over the past decade, nursing professional development practitioners (NPDPs) have advanced efforts t...