Latest AI and machine learning research in pediatrics for healthcare professionals.
In modern education systems, accurate and individualized prediction of the development of students in ethics education is the central problem. Unbiased insight into the moral development path of each individual, and the provision of appropriate and timely interventions, are essential for the promotion of social well-being as well as the education of civic citizens. The present study aims to propos...
High-risk pregnancies pose a major challenge in maternal and neonatal healthcare, defined as conditions where medical, social, or obstetric factors threaten the health of the mother or fetus. Traditional clinical tools often overlook individual complexities and delay identification, especially in resource-limited settings where mortality rates remain high. This study addresses these gaps by develo...
INTRODUCTION: NICU sepsis evaluation balances rapid antibiotic administration for mortality reduction against unnecessary treatment. Objective risk st...
Postnatal care (PNC) plays a crucial role in minimizing maternal and neonatal morbidity and mortality, but the uptake of services in Bangladesh remain...
BACKGROUND: Simulation-based training (SBT) in neonatal resuscitation has positive impact on educational and neonatal outcomes. However, the implement...
BACKGROUND: Vesicoureteral reflux (VUR) is a common urological disorder in children. To date, VUR severity is assessed by grading, and contemporary mo...
BACKGROUND: Kinesin family member 23 (KIF23) is a microtubule-dependent motor protein essential for cytokinesis, organelle transport, and signaling pa...
Cereulide is a heat stable cyclic dodecadepsipeptide and potassium selective ionophore produced by Bacillus cereus, recognized as the causative agent ...
Maternal obesity disrupts fetal hypothalamic development by inducing structural changes in feeding circuits, such as reduced hypothalamic precursor pr...
High-frequency oscillations (HFOs), transient burst of ≥ 80 Hz activity, are increasingly recognized as promising EEG biomarkers of the epileptogenic ...
BACKGROUND: Pediatric idiopathic intracranial hypertension can be challenging to diagnose; magnetic resonance imaging (MRI) signs are considered suppo...
Artificial intelligence (AI) methods, including machine learning (ML), are transforming healthcare by enabling personalized interventions that integra...
BACKGROUND: Adolescents are highly vulnerable to mental health conditions, yet traditional counseling models may not fully address their evolving need...
BACKGROUND: Endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) offers an alternative to shunt placement for infant hydroceph...
BACKGROUND: Recombinant glucokinase (GLK), an important enzyme for blood glucose diagnostics, is commonly prepared in Escherichia coli (E.coli )for la...
OBJECTIVE: To construct a machine learning model using contrast-enhanced CT radiomics and clinical indicators, aiming to improve the diagnostic accura...
Defining the maturity of long-lived antibody-secreting cells (ASCs) is important for vaccine optimization and research into autoimmune diseases, but c...
OBJECTIVE: To examine the factors influencing advance care planning (ACP) readiness and its correlation with disease benefit perception and social sup...
BACKGROUND: Pediatric lymphoma patients undergo multiple 18F-FDG PET/CT examinations for staging and response assessment, raising concerns about cumul...
BACKGROUND: Early sepsis diagnosis in children remains challenging due to nonspecific presentations. This study aimed to develop an interpretable mach...