Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psychiatric nurses provide direct care to patients with mental illness, and their attitudes toward artificial intelligence will directly impact the effectiveness of related technologies in clinical practice.This study aims to explore psychiatric nurses' attitudes toward artificial intelligence applicat...
The global increase in the elderly population necessitates accurate assessment of the needs of individuals residing in nursing homes. This study aims to optimise a 30-item questionnaire developed on the basis of Maslow's Hierarchy of Needs by employing machine learning algorithms. As one of the pioneering applications in Turkey, the research was conducted with 310 participants from four nursing ho...
BACKGROUND: Assessing the current landscape of nurses' knowledge and attitudes is a critical first step in facilitating a smooth and effective transit...
BACKGROUND: Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that can learn from and mimic large amounts of data to cr...
BACKGROUND: Rapid global aging has led to an increasing demand for long-term care services for the elderly; however, current long-term care systems ar...
BACKGROUND: Nursing interns face early clinical distress; chatbot-based mental health tools show promise, although evidence of their feasibility and e...
BACKGROUND: In surgical fields at the forefront of technological advancement with both virtual and physical artificial intelligence applications, nurs...
BACKGROUND: Disrupted sleep and circadian rhythms in dementia affect rest-activity patterns and impact quality of life, safety, and caregiver burden. ...
AIM: Comprehensive evaluation of randomized and non-randomized controlled trials (RCTs and NRCTs, respectively) on the effectiveness of AI-driven conv...
OBJECTIVE: To develop an interpretable stacking ensemble model for predicting in-hospital mortality in intensive care unit (ICU) patients with CKD and...
INTRODUCTION: This study was conducted to explore the views of pediatric nurses on robot nurses and artificial intelligence. METHOD: A qualitative res...
Artificial intelligence (AI) is rapidly transforming pediatric healthcare, yet many pediatric nurse practitioners lack adequate preparation for implem...
Nursing professionals and doctoral nursing students engage in scholarly work throughout the academic experience and their careers. However, they often...
BACKGROUND: Artificial intelligence literacy is essential for nursing students to become competent in navigating contemporary healthcare complexities ...
BACKGROUND: Artificial intelligence (AI) is playing an increasingly important role in nursing care, including wound management. Differentiating pressu...
BACKGROUND: Nurses are at the forefront of providing palliative care, playing a critical role in ensuring high-quality support for patients and their ...
OBJECTIVES: To assess the acceptability, usability, trust, and satisfaction of the INCISIVE AI toolbox (a tool to diagnose and facilitate decisions in...
Atrial electrical remodeling spans molecular, electrical, and structural alterations that shorten refractoriness, facilitate reentry, and ultimately c...
BACKGROUND: Empathy is a fundamental nursing competence that supports effective communication and high-quality care. In obstetric settings, the emotio...
BACKGROUND: Delirium remains one of the most consequential complications among critically ill patients in ICUs, exerting profound effects on morbidity...