Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Modelling growth allows nutritionists and poultry researchers to predict dynamic or daily nutrient needs more precisely than using fixed requirements. OBJECTIVES: This study evaluated the monomolecular model and artificial neural network (ANN) to describe the relationship between metabolizable energy (ME) intake and body weight gain (BWG) in commercial strains of different egg-type pul...
Youths' socioeconomic status (SES) correlates with academic, cognitive, and neural outcomes, partly driven by influences on the developmental environment not captured by caregiver income and education alone. Leveraging Adolescent Brain Cognitive Development (ABCD) study data (M = 11.92 years; total n = 8,764), this study took an exploratory comparative approach, examining independent and interacti...
While the heterogeneity and co-occurrence of heritable neurodevelopmental conditions such as autism, attention deficit hyperactivity disorder (ADHD), ...
BACKGROUND: Diffusion-weighted magnetic resonance imaging provides a non-invasive way to probe brain tissue microstructure and is widely used in neuro...
Artificial intelligence (AI) is transforming pediatric healthcare, offering novel opportunities for early diagnosis, personalized treatment, and more ...
Linezolid (LZD)-associated thrombocytopenia (TP), a type of major hematotoxicity that can lead to the discontinuation of LZD treatment in patients wit...
AIM: Planning for a hospital is a complex and dynamic process, traditionally not informed by evidence. A systems thinking approach can be useful in in...
BACKGROUND: In vitro callus culture systems have been well documented to increase the production of bioactive metabolites. However, optimization of cu...
PURPOSE: This study aimed to explore pediatric nurses' perceptions of using artificial intelligence in the education of children with chronic diseases...
BACKGROUND: Participatory approaches (including co-research, co-design, Patient and Public Involvement [PPI], and Participatory Action Research [PAR])...
Generative artificial intelligence (AI) has emerged as a transformative tool for creating high-quality visual materials in medical research and educat...
Wilms tumor (WT) is the most common pediatric kidney cancer. Tolerogenic dendritic cells (TolDCs) promote tumor immune evasion in the tumor microenvir...
BACKGROUND: Predicting enterocutaneous fistula (ECF)-associated sepsis and mortality poses significant challenges in digital health care due to the di...
BACKGROUND: Conversational agents (CAs) are increasingly used in mental health care to enhance access and engagement. However, their safe, ethical, an...
Cellular agriculture (CA), an emerging and sustainable agricultural paradigm, offers a promising solution to global challenges in food security and en...
Despite the reduced impact of COVID-19 due to widespread vaccination and improved treatments, a critical need remains for accessible, scalable, and ra...
Ewing sarcoma is a highly aggressive small round cell sarcoma primarily affecting children and adolescents. Imaging plays a central role from diagnosi...
Objective: To automatically estimate children's physiological age from pediatric panoramic radiographs, employing a two-stage approach which involves ...
As residents' demand for leisure consumption spaces continues to grow, the development of these spaces influences their perception of urban environmen...
The emergence of anti-vascular endothelial growth factor (anti-VEGF) therapy has marked a paradigm shift in the treatment of retinal and choroidal vas...