Nursing

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...

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,...

Development and Validation of a Scale for Nurses' Ethical Awareness in The Use of Artificial Intelligence: A Methodological Study.

The integration of artificial intelligence in nursing practice presents significant ethical challeng...

Perspectives of physicians, nurses, and patients on the use of artificial intelligence and robotic nurses in healthcare.

AIM: This study aims to assess the perspectives of physicians, nurses, and patients in Turkey regard...

Construction and Validation of Artificial Neural Network Model Suggesting Nursing Diagnosis: A Proof-of-Concept Study.

There are challenges involving human resource management, as the selection and evaluation processes ...

Machine Learning for Clinical Decision Support in the Neonatal Intensive Care Unit.

The neonatal intensive care unit (NICU) is a data-rich environment that is an ideal setting for the ...

Acceptance and Readiness of Critical Care Nurses to Use Artificial Intelligence: A Structural Equation Modeling Approach.

AIM: The aims of this study was to evaluate the acceptance and readiness of critical care nurses to ...

ChatGPT Applications in Nursing: Current Status and Future Perspectives.

AIM: With the rapid advancement of generative artificial intelligence technologies, natural language...

The impact of AI-based decision support systems on nursing workflows in critical care units.

AIM: This research examines the effects of artificial intelligence (AI)-based decision support syste...

Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees' Dialogue to Facilitate Nurse Communication Training

Effective communication training is essential to preparing nurses for high-quality patient care. W...

A machine learning and centrifugal microfluidics platform for bedside prediction of sepsis.

Sepsis is a life-threatening organ dysfunction due to a dysfunctional response to infection. Delays ...