Nursing

Latest AI and machine learning research in nursing for healthcare professionals.

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Robotic Assisted Transcranial Doppler Monitoring in Acute Neurovascular Care: A Feasibility and Safety Study.

BACKGROUND: Transcranial color Doppler (TCD) is currently the only noninvasive bedside tool capable ...

Decoding machine learning in nursing research: A scoping review of effective algorithms.

INTRODUCTION: The rapid evolution of artificial intelligence (AI) technology has revolutionized heal...

Criticality of Nursing Care for Patients With Alzheimer's Disease in the ICU: Insights From MIMIC III Dataset.

Alzheimer's disease (AD) patients admitted to intensive care units (ICUs) exhibit varying survival o...

Nursing Staff's Perspectives of Care Robots for Assisted Living Facilities: Systematic Literature Review.

BACKGROUND: Care robots have been proposed in response to nursing shortages in assisted living facil...

Perceived Usefulness of Robotic Technology for Patient Fall Prevention.

BACKGROUND: Technology has the potential to prevent patient falls in healthcare settings and to redu...

From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unit.

PURPOSE: Despite its promise to enhance patient outcomes and support clinical decision making, clini...

Machine learning methods to discover hidden patterns in well-being and resilience for healthy aging.

BACKGROUND: A whole person approach to healthy aging can provide insight into social factors that ma...

Sentiment of Nurses Towards Artificial Intelligence and Resistance to Change in Healthcare Organisations: A Mixed-Method Study.

BACKGROUND: Research identified preliminary evidence that artificial intelligence (AI) has emerged a...

The use of artificial intelligence for graduate nursing education: An educational evaluation.

With artificial intelligence (AI) rapidly advancing, advanced practice nurses must understand and us...

Machine Learning Model Reveals Determinators for Admission to Acute Mental Health Wards From Emergency Department Presentations.

This research addresses the critical issue of identifying factors contributing to admissions to acut...

Machine learning-based identification of the risk factors for postoperative nausea and vomiting in adults.

Postoperative nausea and vomiting (PONV) is a common adverse effect of anesthesia. Identifying risk ...

Deep learning and its associated factors among Chinese nursing undergraduates: A cross-sectional study.

BACKGROUND: Adequate professional preparation of nursing undergraduates is conducive to developing h...

Artificial intelligence tools utilized in nursing education: Incidence and associated factors.

BACKGROUND: Artificial intelligence technology is among the most significant advancements that provi...

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