Latest AI and machine learning research in nursing for healthcare professionals.
Inhomogeneity of air volume distribution in the lungs of mechanically ventilated patients can lead to lung collapse and overdistention, increasing the risk of ventilator-induced lung injury. While Electrical Impedance Tomography (EIT) enables bedside monitoring of regional ventilation, traditional Degree of Lung Collapse (DoLC) assessment using the Global Inhomogeneity (GI) index is limited by lun...
BACKGROUND: This study mapped the scientific evidence on the knowledge, skills, and attitudes of nursing students regarding artificial intelligence (A...
BACKGROUND: Virtual reality is increasingly applied in nursing education to enhance student readiness for patient care. This study evaluated the effec...
AIMS: Heart failure (HF) requires scalable strategies to detect decompensation early and reduce hospitalizations. Existing telemonitoring tools are of...
BACKGROUND: The impact of surgical complications is substantial and multifaceted, affecting patients and their families, surgeons, and health care sys...
OBJECTIVE: This study aimed to identify latent subtypes of AI literacy among full-time healthcare postgraduate in China, including those specializing ...
RATIONALE AND KEY POINTS: Safe and effective medicine administration and dosage calculation are fundamental nursing proficiencies. Medicine dosage cal...
BACKGROUND AND OBJECTIVES: Access to specialty surgical care is growing in many low-income countries, but it remains unclear how hospital workforces c...
AIMS: Ultrasound is a highly sensitive method to detect developmental dysplasia of the hip (DDH). However, the cost of expert sonographers performing ...
AIM: This study aimed to examine the relationship between nursing students' attitudes toward artificial intelligence (AI) and their levels of AI-relat...
Sepsis-associated encephalopathy (SAE) is common in the intensive care unit (ICU) and portends worse short- and long-term outcomes. To enable real-tim...
BACKGROUND: Pediatric cardiopulmonary resuscitation (CPR) is a highly complex and time-critical process that demands precise team coordination and str...
Artificial intelligence (AI) embedded in point-of-care ultrasound (POCUS) could reduce operator dependence in left ventricular ejection fraction (LVEF...
To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac intensive care, focusing on algorithm performance, va...
As the world's population ages, ensuring the safety of older adult pedestrians has become an urgent priority in transportation planning. However, most...
BACKGROUND: Clinical decision support (CDS) systems have been widely adopted in health care to enhance decision making, but opportunities to refine th...