Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: Translating evidence-based therapies from "bench to bedside" remains challenging, and implementation science (IS) experts are crucial for this process. Qualitative analyses are essential, but require extensive time and cost for manual coding. Now, many turn to artificial intelligence (AI) to accelerate the pace of qualitative analysis, but significant questions remain about the quality...
BACKGROUND: Generative AI (genAI) is now embedded in higher education, yet its implications for undergraduate nursing students' decisions to attend voluntary on-campus learning alongside mandatory Clinical Learning Environment (CLE) activities remain underexplored, particularly in regulated clinical-hours contexts. OBJECTIVE: To explore how undergraduate nursing students use genAI for coursework a...
Background: Collaboration between nurse practitioners (NPs) and pharmacists is essential for comprehensive patient care, especially in telehealth sett...
PROBLEM: Health systems are rapidly integrating generative artificial intelligence (GenAI) into clinical workflows, introducing safety risks including...
AIM: This study aimed to investigate the relationship between pediatric nurses' levels of artificial intelligence literacy and artificial intelligence...
Background: Health technology assessment (HTA) increasingly informs reimbursement, adoption, scale-up, and disinvestment decisions, yet many evidentia...
BACKGROUND: Operating room (OR) inefficiency persists despite decades of process improvement, largely due to stochastic case durations, emergency disr...
INTRODUCTION: The use of artificial intelligence (AI), particularly conversational agents such as ChatGPT, is expanding in the healthcare industry. We...
This pilot study explored how adult day centers can serve as transformative clinical learning environments for nursing students to learn dementia care...
Health care professionals face an urgent need for AI literacy as artificial intelligence technologies rapidly transform clinical practice, yet nursing...
INTRODUCTION: Clinical reasoning in medicine is a complex cognitive process that integrates sensory perception, interpretation, and abductive inferenc...
BACKGROUND: Artificial intelligence-enabled ambient speech recognition technology is an emerging innovation poised to transform how nurses care for an...
BACKGROUND: Effective postdischarge management is essential for maintaining disease control and improving long-term outcomes in rheumatoid arthritis (...
OBJECTIVES: To identify the lowest sensitivity and specificity that physicians and the general population consider acceptable for medical artificial i...
BACKGROUND: Early diagnosis is the most critical determinant of native liver survival in infants with biliary atresia (BA). Accurate differentiation o...
BACKGROUND: In the field of patient monitoring, there often remains a gap between clinical needs and the monitoring technologies available from indust...
Fluid overload (FO) is a critical complication in acute pancreatitis (AP), contributing to prolonged hospital stays and increased mortality. Tradition...
BACKGROUND: Ureteroscopic lithotripsy is a minimally invasive surgical procedure used to treat kidney stones. It faces challenges like a long learning...