Latest AI and machine learning research in nursing for healthcare professionals.
Postoperative nausea and vomiting (PONV) is a common adverse effect of anesthesia. Identifying risk factors for PONV is crucial because it is associated with a longer stay in the post-anesthesia care unit, readmissions, and perioperative costs. This retrospective study used artificial intelligence to analyze data of 37,548 adult patients (aged ≥20 years) who underwent surgery under general anesthe...
BACKGROUND: Artificial intelligence technology is among the most significant advancements that provide students with effective learning opportunities in this digital era. Therefore, the National League for Nursing states that it is necessary to reframe the nursing education process.
BACKGROUND: Adequate professional preparation of nursing undergraduates is conducive to developing health care careers. Deep learning is important for...
BACKGROUND: HIV pre-exposure prophylaxis (PrEP) is a critical biomedical strategy to prevent HIV transmission among cisgender women. Despite its prove...
Machine learning (ML) tools for acute respiratory distress syndrome (ARDS) detection and prediction are increasingly used. Therefore, understanding ri...
ChatGPT, an artificial intelligence (AI) system released by OpenAI on November 30th, 2022, has upended scientific and educational paradigms, reshaping...
In this issue of Pediatric Research, Kota et al. evaluate a novel monitoring visual trend using deep-learning - Brain State of the Newborn (BSN)- base...
BACKGROUND: As generative artificial intelligence (GenAI) tools continue advancing, rigorous evaluations are needed to understand their capabilities r...
The COVID-19 pandemic shed light on systemic issues plaguing care (nursing) homes, from staff shortages to substandard healthcare. Artificial Intellig...
Artificial Intelligence (AI) has greatly affected our everyday lives and holds great promise to change the landscape of medicine. AI is particularly p...
Diagnosing patients in the medical emergency department is complex and this is expected to increase in many countries due to an ageing population. In ...
BACKGROUND: Despite the importance of studying factors contributing to nursing students' attitudes toward artificial intelligence, yet according to ou...
BACKGROUND: The lack of artificial intelligence applications in nursing education and the nursing profession in Turkey and the need for strategies for...
BACKGROUND: The concept of health equity by design encompasses a multifaceted approach that integrates actions aimed at eliminating biased, unjust, an...
OBJECTIVES: To explore research hotspots and theme trends in artificial intelligence in nurse education using bibliometric analysis.
BACKGROUND:  Generative artificial intelligence (AI) tools may soon be integrated into health care practice and research. Nurses in leadership roles, ...
Survey highlights potential patient safety problems with AI-generated reports.
BACKGROUND: Although the use of artificial intelligence (AI)-based technologies, such as AI-based decision support systems (AI-DSSs), can help sustain...
For successful human-robot collaboration, it is crucial to establish and sustain quality interaction between humans and robots, making it essential to...
OBJECTIVES: To develop and externally validate a machine learning-based fall prediction model for ambulatory nursing home residents. The focus is on p...