Latest AI and machine learning research in nursing for healthcare professionals.
INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an effective strategy to enhance safety, quality, and process efficiency. However, its implementation introduces a novel user-robot interaction that transforms professional roles, tasks, and training needs. The acceptance of this technology depends on human, technical, and organizational factors. At pr...
OBJECTIVE: This qualitative study aimed to explore the experiences of nursing undergraduate students using Generative Artificial Intelligence (GenAI) for their case study theses. BACKGROUND: The growing use of GenAI in academic settings has facilitated its gradual integration into nursing education. Although the application of GenAI for educational purposes in nursing is gaining traction, in the i...
BACKGROUNDS: Artificial intelligence (AI) is rapidly reshaping nursing education by transforming teaching strategies, student engagement, and clinical...
BACKGROUND: In 2022, over 18,000 patients aged ≥70 years were hospitalized in the Netherlands for a hip fracture, with 50% requiring geriatric rehabil...
This study was conducted to determine pediatric nurses' views on the use of artificial intelligence-supported social robots in pediatric clinics. An e...
BACKGROUND: Rapid response systems (RRSs) are designed to detect and treat physiological deterioration before cardiac arrest occurs. Since 2020, Japan...
AIM: This study seeks to perform a systematic review of the literature on the factors influencing intention to use artificial intelligence (AI) applic...
BACKGROUND: Survivorship after critical illness is often characterised by fragmented recovery and lingering cognitive, psychological, and physical imp...
OBJECTIVES: To examine nurse-supported interventions on sustained mobile health (mHealth) engagement and identify predictors of long-term use in commu...
PURPOSE: The quality of postoperative care for oral tumors critically influences patient prognosis and quality of life; however, current nursing syste...
BACKGROUND: Large language models (LLMs) have shown promising results on Japanese national medical and nursing examinations. However, no study has eva...
As a field, neurology can seem complicated, overwhelming, and at times ambiguous and uncertain. However, novel technological developments-including ar...
BACKGROUND: Since the introduction of artificial intelligence (AI) platforms, many nurse educators have been slow to adopt AI, and so they have been m...
BACKGROUND: The integration of artificial intelligence (AI) and robotic technologies into healthcare is increasing, making it important to understand ...
Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) represents a high-risk subtype of AML, characterized by poor prognosis and limite...
BACKGROUND: Despite evidence of an uptick in clinical simulation adoption during the pandemic, there are no studies assessing the durability of nation...
Patient-ventilator asynchrony is highly prevalent during invasive mechanical ventilation, yet its detection at the bedside remains limited. Convention...
AIM: To propose a normative framework that guides nursing professional organisations to act as human rights intermediaries in the governance of artifi...