Latest AI and machine learning research in nursing for healthcare professionals.
PURPOSE: To develop and validate a bedside machine learning (ML) decision support tool for prediction of invasive mechanical ventilation (IMV) weaning readiness.
: Hospital readmissions are a key quality metric impacting both patient outcomes and healthcare costs. Traditional logistic regression models, including the LACE index (Length of stay, Admission type, Comorbidity index, and recent Emergency department visits), are commonly used for readmission risk stratification, though their accuracy may be limited by non-linear interactions with other clinical ...
AIM/OBJECTIVE: This review aims to provide a comprehensive analysis of the integration of machine learning (ML) (1) in nursing by exploring its implic...
Drawing on intersectional feminist theory, this review interrogates maternal health disparities through lenses of gender, labor, and structural inequa...
Sickle cell retinopathy (SCR) is an ocular manifestation of sickle cell disease (SCD). In SCR abnormal sickling of erythrocytes is associated with sig...
Communicating Narrative Concerns Entered by RNs Early Warning System (CONCERN EWS) is a machine-learning predictive model that leverages nursing surve...
This study explores nursing students' stress responses while they are being trained in a mixed reality (MR) setting that replicates highly stressful c...
BACKGROUND: Nursing pharmacology, essential for patient safety, benefits from innovative teaching methods that enhance student engagement and understa...
Frailty in the elderly population is associated with increased vulnerability to stressors, including surgical interventions. This study compared machi...
BACKGROUND: Recent development in AI-driven predictive analytics have demonstrated potential to enhance critical care workflows, particularly in three...
BACKGROUND: The integration of artificial intelligence (AI) into education has the potential to revolutionize teaching and learning practices, especia...
BACKGROUND: In this era of rapid development in science and technology, creativity has become an important requirement in nursing to satisfy the daily...
: The integration of artificial intelligence (AI) into mental health care is reshaping psychological support systems, particularly for digitally liter...
Each year, nursing informatics researchers contribute to nursing and health informatics knowledge. The year 2024 emerged as yet another year of signif...
AIM: This study aimed to evaluate the impact of training on the use of ChatGPT in the nursing process on nursing undergraduate students' problem-solvi...
BACKGROUND: Artificial intelligence can be an important tool in developing creative thinking while supporting individualized learning and problem-solv...
Healthcare systems are increasingly integrating artificial intelligence and machine learning (AI/ML) tools into patient care, potentially influencing ...
Electronic incident reporting is a key quality and a safety process for healthcare organizations that assists in evaluating performance and informing ...
This study proposes an evaluation of the efficacy of machine learning algorithms in classifying chronic pain based on Italian nursing notes, contribut...
Organoid technology, as an emerging field within biotechnology, has demonstrated transformative potential in advancing precision medicine. This review...