Latest AI and machine learning research in pediatrics for healthcare professionals.
INTRODUCTION: This study aims to develop a Conversational AI-based illegal filming prevention educat...
BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children ...
OBJECTIVES: Ultrasonography is increasingly the preferred method for infant hip screening to enable ...
INTRODUCTION: Therapeutic drug monitoring (TDM) plays an important role in optimizing antifungal pha...
Pediatric glioblastoma (pGBM) is an aggressive central nervous system (CNS) tumor whose pathological...
Broadly neutralizing antibodies (bnAbs) are essential for the development of vaccines and therapeuti...
This study examines how students psychologically adapt to scaffolded generative artificial intellige...
BACKGROUND: Food allergy (FA) significantly impairs health-related quality of life (HRQL), yet its k...
BACKGROUND: The development of artificial intelligence (AI) has revolutionised medicine, impacting a...
BACKGROUND: Prediction of Large for Gestational Age (LGA) risk is important as it can enable earlier...
BACKGROUND: Ecological momentary interventions (EMIs) may be a promising tool for promoting mental w...
INTRODUCTION: Seizure control is the primary therapeutic goal in pediatric epilepsy, yet its multidi...
BACKGROUND: Although large language models (LLMs) show potential for patient education, their accura...
OBJECTIVE: Early identification of mortality risk in critically ill children with suspected infectio...
This study aimed to evaluate the prognostic value of conventional and advanced PET metrics for predi...
Early identification of children at risk for persistent asthma is challenging because preschool resp...
Dendrogeomorphology provides valuable insights into the dating of geomorphic events but requires com...
Cognitive decline with age and other clinical conditions are linked with reduced hypothalamic-pituit...
BACKGROUND: Personalized medicine, driven by genomic insights, has catalyzed the emergence of innova...
AIM: To evaluate and synthesize the literature on machine learning and deep learning methodologies i...