Nursing

Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers

Region-instructed layout control in text-to-image generation is highly practical, yet existing metho...

Cultryx: Precision Diagnostic Stewardship for Blood Cultures Using Machine Learning

Background: The 2024 blood culture bottle shortage brought diagnostic resource allocation to the for...

Development and Validation of the Intensive Documentation Index for ICU Mortality Prediction: A Temporal Validation Study

Background: Nursing documentation patterns may reflect patient acuity and clinical deterioration, ye...

AgentScore: Autoformulation of Deployable Clinical Scoring Systems

Modern clinical practice relies on evidence-based guidelines implemented as compact scoring systems ...

A Unified XAI-LLM Approach for EndotrachealSuctioning Activity Recognition

Endotracheal suctioning (ES) is an invasive yet essential clinical procedure that requires a high de...

Predictive Modeling of Healthcare Workers' Priorities of WHO 2030 Key Activities for Snakebite Prevention and Control in Ghana

Snakebite is a neglected public health problem that results in significant morbidity and mortality, ...

Factors affecting Artificial Intelligence usage intention among nursing students: Unified theory of acceptance and use of technology.

BACKGROUND: Nursing students' acceptance and usage of AI are crucial for embracing and implementing ...

Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications

Large language models (LLMs) such as GPT-4o and o1 have demonstrated strong performance on clinica...

Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications

Large language models (LLMs) such as GPT-4o and o1 have demonstrated strong performance on clinica...

Beyond Black-Box AI: Interpretable Hybrid Systems for Dementia Care

The recent boom of large language models (LLMs) has re-ignited the hope that artificial intelligen...

Integration of Virtual Technology and Artificial Intelligence Improves Satisfaction, Patient Safety, and Nursing Workforce Efficiency.

Development and Comparative Evaluation of Three Artificial Intelligence Models (NLP, LLM, JEPA) for Predicting Triage in Emergency Departments: A 7-Month Retrospective Proof-of-Concept

Triage errors, including undertriage and overtriage, are persistent challenges in emergency depart...

Artificial intelligence in cardiovascular practice: Bringing the technology to the bedside.

Artificial intelligence and advanced practice nursing.

This article explores the integration of artificial intelligence (AI) in advanced practice nursing, ...

Integrating artificial intelligence and machine learning in nursing practice: opportunities, methods and challenges.

[Health Equity in Mental Health Care: Challenges for Nurses and Related Preparation].

Individuals with mental illness face significant challenges in achieving health equity due to social...

Perspectives and Experiences of Nurse Managers on the Impact of Artificial Intelligence on Nursing Work Environments and Managerial Processes: A Qualitative Study.

AIM: To explore the perspectives and experiences of nurse managers regarding the impact of artificia...

CRT 2025 late-breaking trials: Key takeaways.

The Cardiovascular Research Technologies (CRT) 2025 conference, a prominent gathering in the field o...

From Federal Policy to Bedside Care: A Canadian Perspective on Key Considerations for Nurse Executive Action for AI Adoption - A Commentary.

The integration of artificial intelligence (AI) into healthcare represents a paradigm shift with the...

A systematic review and sequential explanatory synthesis: Artificial intelligence in healthcare education, a case of nursing.

AIM: This review aims to explore the impact of artificial intelligence (AI) on knowledge acquisition...

Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury.

According to the statistics of relevant data, stroke is a relatively common cerebrovascular disease,...