Latest AI and machine learning research in nursing for healthcare professionals.
Patient-ventilator asynchrony is highly prevalent during invasive mechanical ventilation, yet its de...
AIM: To propose a normative framework that guides nursing professional organisations to act as human...
Inhomogeneity of air volume distribution in the lungs of mechanically ventilated patients can lead t...
BACKGROUND: This study mapped the scientific evidence on the knowledge, skills, and attitudes of nur...
BACKGROUND: Virtual reality is increasingly applied in nursing education to enhance student readines...
AIMS: Heart failure (HF) requires scalable strategies to detect decompensation early and reduce hosp...
BACKGROUND: The impact of surgical complications is substantial and multifaceted, affecting patients...
RATIONALE AND KEY POINTS: Safe and effective medicine administration and dosage calculation are fund...
BACKGROUND AND OBJECTIVES: Access to specialty surgical care is growing in many low-income countries...
AIMS: Ultrasound is a highly sensitive method to detect developmental dysplasia of the hip (DDH). Ho...
Sepsis-associated encephalopathy (SAE) is common in the intensive care unit (ICU) and portends worse...
BACKGROUND: Pediatric cardiopulmonary resuscitation (CPR) is a highly complex and time-critical proc...
To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac int...
As the world's population ages, ensuring the safety of older adult pedestrians has become an urgent ...
BACKGROUND: Clinical decision support (CDS) systems have been widely adopted in health care to enhan...
BACKGROUND: This manuscript explores the silent yet urgent crisis of suicidal ideation and suicide w...