Latest AI and machine learning research in nursing for healthcare professionals.
Nursing documentation is a fundamental component of safe clinical practice, supporting effective communication, continuity of care and patient safety. However, the increasing demands associated with electronic health records have contributed to a growing administrative workload for nurses. In response, artificial intelligence (AI) technologies are being explored as tools to support clinical docume...
AIMS: To quantify the heterogeneity of treatment effects of higher versus standard MAP targets on 28-day mortality, to identify distinct clinical phenotypes that respond differentially to MAP targets, and to derive simple bedside decision rules to guide individualised haemodynamic management. BACKGROUND: Current guidelines recommend a uniform mean arterial pressure (MAP) target of ≥65 mmHg for sep...
BACKGROUND: Nursing students are at high risk for developing eating disorders (ED). However, methods for identifying ED tendencies within this group r...
AIM: This study examined the relationship between medical artificial intelligence readiness and AI-related anxiety among nursing students following su...
INTRODUCTION: Long COVID is a multisystem condition with challenging diagnosis. Nurse-navigation, a patient-centered intervention, can enhance educati...
BACKGROUND: Prolonged postoperative intensive care unit (ICU) length of stay (LOS) after coronary artery bypass grafting (CABG) drives resource use ye...
BACKGROUND: Healthcare professionals other than dietitians are widely perceived as credible sources of nutrition information by patients, despite many...
OBJECTIVE: To conduct an analysis of publication trends and a systematic review of randomized controlled trials (RCTs) to characterize the current sta...
BACKGROUND: Artificial intelligence (AI) is emerging as a critical tool for nurse practitioners delivering pediatric and adolescent and young adult (A...
BACKGROUND: Proper positioning during sleep is critical for musculoskeletal and neurological development of preterm neonates, yet current manual asses...
PURPOSE OF REVIEW: Artificial intelligence (AI) is expected to transform critical care in fundamental ways. The last generation of AI, i.e. generative...
BACKGROUND: Nursing education requires integrating technology, clinical reasoning, and compassionate care. As artificial intelligence (AI) utilization...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare education and clinical practice. Understanding health sciences stu...
In the diagnosis of pediatric pneumonia, the weak conductivity contrast of lung tissues leads to limited image resolution in electrical impedance tomo...
INTRODUCTION: Falls remain a problem in hospitalised patients, especially in older adults. In-hospital falls occasionally lead to injuries. Currently,...
BACKGROUND: Artificial intelligence (AI) tools are increasingly used in clinical settings, yet most syntheses focus on nurses' attitudes or readiness ...
Hospitals desire knowledge of bedside sensors in real time but they do not wish to send everything to the cloud. We propose an Edge-AI framework used ...
Sepsis remains one of the leading causes of mortality in adult critical care, representing a dysregulated host response to infection. Despite advances...
OBJECTIVE: To identify risk patterns among high-risk newborns associated with hearing screening failure using unsupervised machine learning. STUDY DES...