Latest AI and machine learning research in nursing for healthcare professionals.
INTRODUCTION/PURPOSE: Point-of-care ultrasound (PoCUS) has evolved from bulky radiology-based machin...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare practice and education, ...
Heart failure management in skilled nursing facilities (SNFs) is complicated by limited access to sp...
INTRODUCTION: Breast cancer remains the most prevalent malignancy among women worldwide, with its pr...
PURPOSE: Early detection is crucial for preventing clinical deterioration. This quality improvement ...
OBJECTIVE: Given the high alignment between deep learning and blended teaching objectives, blended t...
AIM: This study used network analysis to characterize the internal structure of artificial intellige...
BACKGROUND: Integrating artificial intelligence (AI) systems into nursing care often encounters obst...
BACKGROUND: Patients with respiratory diseases commonly experience psychological distress. Tradition...
BACKGROUND: Severe trauma remains a leading cause of admission to the intensive care unit. The Traum...
OBJECTIVE: To evaluate and compare the ability of the Mayo Adhesive Probability (MAP) score and radi...
OBJECTIVES: Point-of-care (POC) electroencephalography (EEG) enabled with artificial intelligence (A...
Patients with pancreatic cancer have low survival rates, largely because patients are diagnosed at a...
Intensive care nurses play a pivotal role in patient care; however, their perceptions and concerns r...
AIM: To synthesize qualitative evidence on midwives' experiences and perceptions regarding the use o...
BACKGROUND: To overcome key challenges in traditional moxibustion, such as the shortage of skilled p...