Pediatrics

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...

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...

Mapping the Landscape of Care Providers' Quality Assurance Approaches for AI in Diagnostic Imaging.

The discussion on artificial intelligence (AI) solutions in diagnostic imaging has matured in recent...

Ethics of the algorithmic prediction of goal of care preferences: from theory to practice.

Artificial intelligence (AI) systems are quickly gaining ground in healthcare and clinical decision-...

Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models.

Detached off-grids, subject to the generated renewable energy (RE), need to balance and compensate t...

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...

Artificial intelligence-based approaches for traditional fermented alcoholic beverages' development: review and prospect.

Traditional fermented alcoholic beverages (TFABs) have gained widespread acceptance and enjoyed grea...

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 ...

Development and comparative analysis of ANN and SVR-based models with conventional regression models for predicting spray drift.

As monitoring of spray drift during application can be expensive, time-consuming, and labor-intensiv...

Early prediction of patient discharge disposition in acute neurological care using machine learning.

BACKGROUND: Acute neurological complications are some of the leading causes of death and disability ...

Development, validation, and feature extraction of a deep learning model predicting in-hospital mortality using Japan's largest national ICU database: a validation framework for transparent clinical Artificial Intelligence (cAI) development.

OBJECTIVE: While clinical Artificial Intelligence (cAI) mortality prediction models and relevant stu...

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...

A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction.

The relationship of human brain structure to cognitive function is complex, and how this relationshi...

Introduction to the Theme "Development of New Drugs: Moving from the Bench to Bedside and Improved Patient Care".

Investigations in pharmacology and toxicology range from molecular studies to clinical care. Studies...

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...