Pediatrics

Cerebral Cortical Reorganization After Intracerebral Hemorrhage in Children

Structural changes following pediatric intracerebral hemorrhage (ICH) caused by ruptured brain vascular malformations remain poorly understood. We conducted a longitudinal study to examine morphometric changes in brain volume and cortical thickness across ipsilesional and contralesional hemispheres following unilateral ICH. Brain magnetic resonance imaging (MRI) was acquired in 20 patients aged 6–...

Estrogen upregulates NF-κB and TNF signaling in B cells to cause sex and age differences in antibody responses to seasonal influenza vaccination

Sex differences in the humoral immune responses to the seasonal quadrivalent influenza vaccine (QIV) in young adults (YA; 18-49yo) or high dose QIV in old adults (OA; 75+yo) were analyzed to evaluate how age-related changes in steroids impact sex differences in B cell responses. Among YAs, females had greater H3N2, but not H1N1, neutralizing antibody titers and greater proportions of hemagglutinin...

Multi-Center Study on Deep Learning-Assisted Detection and Classification of Fetal Central Nervous System Anomalies Using Ultrasound Imaging

Prenatal ultrasound evaluates fetal growth and detects congenital abnormalities during pregnancy, but the examination of ultrasound images by radiol...

Personalization variables in digital mental health interventions for depression and anxiety in adolescents and youth: a scoping review.

INTRODUCTION: The impact of personalization on user engagement and adherence in digital mental health interventions (DMHIs) has been widely explored. ...

TWINVAX: conceptual model of a digital twin for immunisation services in primary health care.

INTRODUCTION: This paper presents a proposal for the modelling and reference architecture of a digital twin for immunisation services in primary healt...

Prediction of post-Schroth Cobb angle changes in adolescent idiopathic scoliosis patients based on neural networks and surface electromyography.

INTRODUCTION: To develop a temporal-convolutional-LSTM (TCN-LSTM) hybrid model integrating surface electromyography (sEMG) signals for forecasting pos...

Home spirometry telemonitoring in pediatric patients with asthma: a mixed study.

BACKGROUND: To evaluate the feasibility and practicality of home spirometry telemonitoring for pediatric patients with asthma, including both motivato...

European strategies in the screening of biliary atresia: a scoping review.

BACKGROUND: Biliary atresia (BA) is a rare condition that meets the criteria for neonatal screening. Taiwan province of China led the way in BA screen...

Development and evaluation of machine learning models for individualized prediction of myopia control efficacy treated with overnight orthokeratology.

PURPOSE: The primary objective of this study is to develop a predictive model utilizing fundamental clinical and ocular measurements to predict the ef...

The dynamic linkage between covid-19 and nutrition: a review from a probiotics perspective using machine learning and bibliometric analysis.

INTRODUCTION: The pandemic crisis is now a memorable milestone in the history of science, not only for the impacts on the population's health but also...

The significance of an infant's cry: a narrative review of physiological, pathological, and analytical perspectives.

Infants communicate with the outside world through their cries, which often differ for various reasons. Moreover, the cries of healthy and specific pa...

Algorithmic fandom: how generative AI is reshaping sports marketing, fan engagement, and the integrity of sport.

Generative artificial intelligence (AI) is rapidly transforming the landscape of sports marketing by enabling hyper-personalised fan engagement, real-...

IoT and ML-driven framework for managing infectious disease risks in communal spaces: a post-COVID perspective.

COVID-19 has not only changed the way people live but has also altered the way all organizations operate. The most effective precautionary measure aga...

Artificial intelligence for contextual well-being: Protocol for an exploratory sequential mixed methods study with medical students as a social microcosm.

INTRODUCTION: AI-powered conversational agents have proven effective in alleviating psychological distress, however, concerns about autonomy and authe...

Deep learning-based classification of speech disorder in stroke and hearing impairment.

BACKGROUND AND OBJECTIVE: Speech disorders can arise from various causes, including congenital conditions, neurological damage, diseases, and other di...

The role of AI in reducing maternal mortality: Current impacts and future potentials: Protocol for an analytical cross-sectional study.

BACKGROUND: Maternal and newborn mortality remains a critical public health challenge, particularly in resource-limited settings. Despite global effor...

Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac using machine learning.

Meningococcal meningitis poses a significant public health burden in the meningitis belt region of sub-Saharan Africa. The introduction of the meningo...

Transforming Cancer Care: The Impact of AI-driven Strategies.

AI is a critical component in healthcare, especially in the application of precision medicine where patients' characteristics, including genetic makeu...

Combining Real-Time Neuroimaging With Machine Learning to Study Attention to Familiar Faces During Infancy: A Proof of Principle Study.

Looking at caregivers' faces is important for early social development, and there is a concomitant increase in neural correlates of attention to famil...

A Visual Analytics Framework for Assessing Interactive AI for Clinical Decision Support.

Human involvement remains critical in most instances of clinical decision-making. Recent advances in AI and machine learning opened the door for desig...