Latest AI and machine learning research in pediatrics for healthcare professionals.
Identification of adolescent e-cigarette use could inform prevention and intervention programming and reduce associated consequences. One way to predict those engaging in use is by examining social media profiles and metrics. Most studies examining substance use content on social media employ self-report or human coding that have methodological limitations. Thus, the current study developed a supe...
IMPORTANCE: Mortality among children and young adolescents receiving antiretroviral therapy (ART) remains substantially higher in resource-limited settings compared with resource-rich regions. The role of modifiable risk and protective factors in explaining this global variation remains poorly understood. OBJECTIVE: To identify and quantify country-level modifiable risk and protective factors asso...
BACKGROUND: Communication in a family's primary language can support safe care. Vital steps within the care delivery process are contingent on success...
This study aimed to assess the diagnostic performance of the Brazilian-developed artificial intelligence system DIO Inteligência® for automatic detect...
BACKGROUND: Mood disorders after aneurysmal subarachnoid haemorrhage (aSAH) are common. Meanwhile, mood disorders are also common after intensive care...
Medication use during adolescence provides important insight into current health and treatment patterns. However, these data are often difficult to an...
BACKGROUND: Adolescent suicide remains a significant public health concern, yet existing suicide screening instruments primarily focus on already mani...
BACKGROUND: Craniosynostosis is a congenital disorder characterized by premature suture fusion and aberrant skull morphogenesis. The cellular dynamics...
The aim of this study was to externally validate object detection models for comprehensive tooth detection on pediatric panoramic radiographs, quantif...
BACKGROUND: The complexity and rapidly evolving nature of critical patient care in Intensive Care Units underscore the importance of the accuracy and ...
UNLABELLED: The rapid integration of generative artificial intelligence (GenAI) tools, such as ChatGPT, into educational contexts has raised important...
Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that imposes significant personal and societal burdens. Tra...
Academic burnout is a prevalent concern with significant implications for adolescent development, whereas variable-centered approaches often provide l...
Rigorous and reproducible evaluation of lung tissue under different conditions is necessary to interpret development, injury, and pharmacologic interv...
Families who speak a language other than English (LOE) are a growing population in the United States. Children of these families are at risk of dispar...
BACKGROUND: Depression is a pervasive global mental health issue, yet access to trained professionals remains severely limited. With the rapid advance...
Astigmatism is a prevalent refractive error in preschool children and a leading cause of preventable early visual impairment. Conventional screening m...
OBJECTIVE: Accurate detection of adventitious respiratory sounds, such as wheezes and crackles, is essential for diagnosing and managing respiratory c...
Artificial intelligence (AI) has the potential to integrate and digest vast amounts of information to aid clinical decision-making and organise the lo...
Touch is a foundational sensory modality in early development, playing a pivotal role in shaping social, emotional, and cognitive functions. This stud...