Latest AI and machine learning research in nursing for healthcare professionals.
OBJECTIVES: To examine nurse-supported interventions on sustained mobile health (mHealth) engagement...
PURPOSE: The quality of postoperative care for oral tumors critically influences patient prognosis a...
BACKGROUND: Large language models (LLMs) have shown promising results on Japanese national medical a...
As a field, neurology can seem complicated, overwhelming, and at times ambiguous and uncertain. Howe...
BACKGROUND: Since the introduction of artificial intelligence (AI) platforms, many nurse educators h...
BACKGROUND: The integration of artificial intelligence (AI) and robotic technologies into healthcare...
Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) represents a high-risk subtype ...
BACKGROUND: Despite evidence of an uptick in clinical simulation adoption during the pandemic, there...
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...
OBJECTIVE: This study aimed to identify latent subtypes of AI literacy among full-time healthcare po...
RATIONALE AND KEY POINTS: Safe and effective medicine administration and dosage calculation are fund...