Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: Accurate identification of patients at high risk of pulmonary infection after thoracosco...
Generative artificial intelligence offers personalized patient education, yet clinical inaccuracy an...
BACKGROUND: Diabetic foot ulcers remain a leading cause of non-traumatic amputations worldwide, nece...
Preparing patients for cardiac catheterization requires critical but repetitive tasks. We conducted ...
BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into healthcare systems; h...
BACKGROUND: Nurse burnout is a pervasive global problem. Cognitive behavioral therapy (CBT) has been...
BACKGROUND: The integration of artificial intelligence (AI) into nursing education and practice has ...
BACKGROUND: In intensive care unit (ICU) settings, structured team-based communication, such as mult...
BACKGROUND: Inequitable and time-consuming shift scheduling contributes to nurse burnout, dissatisfa...
BACKGROUND: Ensuring accuracy and consistency in emergency department (ED) triage is vital to patien...
This three-wave longitudinal study aimed to examine how medical artificial intelligence (AI) readine...
BACKGROUND: The rapid advancement of Large Language Models (LLMs) presents unprecedented opportuniti...
BACKGROUND: Digital transformation has accelerated the use of artificial intelligence-enabled health...
Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular event...
Post-stroke dysphagia (PSD) affects approximately 42% of acute stroke patients, increasing hospitali...
OBJECTIVES: To develop and interpret a predictive model that detects key factors associated with nur...
BACKGROUND: Missed inspiratory efforts represent one of the most frequent and clinically relevant fo...
Internal medicine involves high-stakes, time-sensitive decisions (such as triaging acute illnesses, ...
OBJECTIVES: We examine how hospital characteristics relate to clinical and operational artificial in...
Effective triage during mass casualty incidents is critical, requiring emergency nurses to make rapi...
OBJECTIVE: Ultra-Low-Field Magnetic Resonance Imaging (ULF MRI) offers low cost and portability but ...