Pediatrics

In-Home Older Adults' Activity Pattern Monitoring Using Depth Sensors: A Review.

The global population is aging due to many factors, including longer life expectancy through better ...

Integrated Development of Artificial Intelligence and Economic Management.

The world economy is developing rapidly. Behind the rapid development, the management of economic re...

An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics.

Technological breakthroughs, together with the rapid growth of medical information and improved data...

Pediatric Automatic Sleep Staging: A Comparative Study of State-of-the-Art Deep Learning Methods.

BACKGROUND: Despite the tremendous prog- ress recently made towards automatic sleep staging in adult...

How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis.

As the global climate problem becomes increasingly serious, the green technology innovation to achie...

Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year period.

Deep learning algorithms for predicting neuroimaging data have shown considerable promise in various...

The use of machine learning and artificial intelligence within pediatric critical care.

The field of pediatric critical care has been hampered in the era of precision medicine by our inabi...

Multi-Scale Deep Learning of Clinically Acquired Multi-Modal MRI Improves the Localization of Seizure Onset Zone in Children With Drug-Resistant Epilepsy.

The present study investigates the effectiveness of a deep learning neural network for non-invasivel...

Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach.

Comparing a family structure to a company, one can often think of parents as leaders and adolescents...

Predicting Low Cognitive Ability at Age 5-Feature Selection Using Machine Learning Methods and Birth Cohort Data.

In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to...

Pharmacological, Non-Pharmacological Policies and Mutation: An Artificial Intelligence Based Multi-Dimensional Policy Making Algorithm for Controlling the Casualties of the Pandemic Diseases.

Fighting against the pandemic diseases with unique characters requires new sophisticated approaches ...

Comment on "Artificial intelligence and machine learning in pediatrics and neonatology healthcare".

Novel approaches to capturing and using continuous cardiorespiratory physiological data in hospitalized children.

Continuous cardiorespiratory physiological monitoring is a cornerstone of care in hospitalized child...

Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer.

Predictive models in neuroimaging are increasingly designed with the intent to improve risk stratifi...

Prediction of chemotherapy-related complications in pediatric oncology patients: artificial intelligence and machine learning implementations.

Although the overall incidence of pediatric oncological diseases tends to increase over the years, i...

Robotic ureteral reimplantation and uretero-ureterostomy treating the ureterovesical junction pathologies in children: technical considerations and preliminary results.

Robot-assisted laparoscopic extravesical ureteral reimplantation (RALUR) and robotic ureteroureteros...

Editorial Comment: ACR TI-RADS for Pediatric Thyroid Nodules on Ultrasound-A Structured Interpretation.

Artificial intelligence in intensive care: moving towards clinical decision support systems.

The high complexity of care in the Intensive Care Unit environment has led, in the last decades, to ...

Pediatric robot-assisted extravesical ureteral reimplantation (revur) in simple and complex ureter anatomy: Report of a multicenter experience.

BACKGROUND: Robot-assisted extravesical ureteral reimplantation (REVUR) is a well established approa...

Completion of disconnective surgery for refractory epilepsy in pediatric patients using robot-assisted MRI-guided laser interstitial thermal therapy.

OBJECTIVE: Since 2007, the authors have performed 34 hemispherotomies and 17 posterior quadrant disc...

The application of artificial intelligence to support biliary atresia screening by ultrasound images: A study based on deep learning models.

PURPOSE: Early confirmation or ruling out biliary atresia (BA) is essential for infants with delayed...