Latest AI and machine learning research in pediatrics for healthcare professionals.
Respiratory tract infections (RTIs) are a significant cause of morbidity in children, caused by a wi...
Most artificial intelligence (AI) governance frameworks in healthcare address model development, rep...
BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and...
PURPOSE: This systematic review and meta-analysis evaluated the performance of artificial intelligen...
BACKGROUND: Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infectio...
PURPOSE: This study aims to compare the responses provided by commonly used artificial intelligence-...
Clinical monitoring in the most vulnerable patients, such as newborns, relies on invasive and costly...
BACKGROUND: Balanced steady-state free-precession (bSSFP) cine imaging is the clinical standard for ...
BACKGROUND: Cardiac computed tomography (CT) is widely utilized in pediatric cardiology, but minimiz...
The Carnegie stages represent a critical window in human development, during which organ primordia e...
BACKGROUND: Smart care robots are rarely developed for younger adults, particularly nursing and heal...
BACKGROUND: Trace blood analysis (TBA) holds irreplaceable value in chronic disease management, elde...
This study evaluated the antifungal potential of ethanolic propolis (EEP) and geopropolis (EEG) extr...
This study describes the development and preliminary validation of an integrated clinical decision s...
BACKGROUND AND INTRODUCTION: Workplace bullying and incivility have continued to escalate across hea...
BACKGROUND: Current data analysis and coordination methods do not effectively support nurses and mid...
BACKGROUND: The successful implementation of decision support systems promises to enhance high-quali...
BACKGROUND: People with and who have survived paediatric brain tumour (PBT) have a poor quality of l...
Heavy metal (HM) pollution is a traditional and ongoing global ecological issue that requires contin...
Large language models (LLMs) are increasingly used as a first-line source of information for everyda...
BACKGROUND: Communication during serious illness is often complex, emotionally charged, and cognitiv...