Pediatrics

Behavior recognition technology based on deep learning used in pediatric behavioral audiometry.

This study aims to explore the feasibility and accuracy of deep learning-based pediatric behavioral audiometry. The research provides a dedicated pediatric posture detection dataset, which contains a large number of video clips from children's behavioral hearing tests, encompassing various typical hearing test actions. A detection platform based on this dataset is also constructed, named intellige...

Machine learning models for acute kidney injury prediction and management: a scoping review of externally validated studies.

Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adverse patient outcomes and presents a significant challenge due to its associated morbidity, mortality, and financial cost. Machine learning (ML) is increasingly being recognized for its potential to transform AKI care by enabling early prediction, detection, and facilitating an individualized approach...

Innovative, Technology-Driven, Digital Tools for Managing Pediatric Urinary Incontinence: Scoping Review.

BACKGROUND: Urinary incontinence affects approximately 7% to 10% of children during the day and 9% to 12% of children during the night. Treatment main...

Van der Waals Epitaxy of 2D Gallium Telluride on Graphene: Growth Dynamics and Principal Component Analysis.

A scalable epitaxy of 2D layered materials and heterostructures constitutes a crucial step in developing novel optoelectronic applications based on hi...

Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs.

BACKGROUND AND PURPOSE: Privacy concerns, such as identifiable facial features within brain scans, have hindered the availability of pediatric neuroim...

Neural networks to model COVID-19 dynamics and allocate healthcare resources.

This study presents a neural network-based framework for COVID-19 transmission prediction and healthcare resource optimization. The model achieves hig...

The Impact of Telepresence Robots on Family Caregivers and Residents in Long-Term Care.

Telepresence robots can enhance social connection and support person-centered care in long-term care (LTC) homes. This study evaluates their impact in...

Machine Learning for Predicting Critical Events Among Hospitalized Children.

IMPORTANCE: Unrecognized deterioration among hospitalized children is associated with a high risk of mortality and morbidity. The current approach to ...

The Evolution of Patient Empowerment and Its Impact on Health Care's Future.

In the 21st century, health care has been going through a paradigm shift called digital health. Due to major advances and breakthroughs in information...

Artificial Intelligence (AI) and The Journal of Pediatric and Adolescent Gynecology (JPAG).

Probiotic Effects of and on the Growth, Health, and Microbiota of Red Tilapia ( sp.).

This study evaluated the effects of a commercial probiotic containing and on the growth performance, intestinal histological structure, body composi...

Comparative analysis of three chatbot responses on pediatric primary nocturnal enuresis.

BACKGROUND: The purpose of the study was to evaluate both the accuracy and reproducibility of the answers given by ChatGPT-4o®, Gemini® and Copilot® t...

Predicting the onset of mental health problems in adolescents.

OBJECTIVE: Mental health problems are the major cause of disability among adolescents. Personalized prevention may help to mitigate the development of...

Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach.

BACKGROUND: Perinatal depression and anxiety significantly impact maternal and infant health, potentially leading to severe outcomes like preterm birt...

Clinical assessment of the criticality index - dynamic, a machine learning prediction model of future care needs in pediatric inpatients.

OBJECTIVE: To assess patient characteristics and care factors that are associated with correct and incorrect predictions of future care locations (ICU...

Generative Artificial Intelligence Accuracy in Interpreting Forest Plots in Pediatric Surgery Meta-analyses: A Perspective From Pediatric Surgery Meta-analysis Study Group (PESMA).

Nonlinear Topological Photonics: Capturing Nonlinear Dynamics and Optical Thermodynamics.

Combining multiple optical resonators or engineering dispersion of complex media has provided an effective method for demonstrating topological physic...

Social media interaction and built environment effects on urban walking experience: A machine learning analysis of Shanghai Citywalk.

In fast-paced urban environments, Citywalk has emerged as a key leisure activity for urban residents to alleviate stress and enhance emotional well-be...

Suicide risk prediction for Korean adolescents based on machine learning.

Traditional clinical risk assessment tools proved inadequate for reliably identifying individuals at high risk for suicidal behavior. As a result, mac...

Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth in breast tissue. Human Epidermal growth factor R...