Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data.

Auscultation is a method that involves listening to sounds from the patient's body, mainly using a s...

AI and early diagnostics: mapping fetal facial expressions through development, evolution, and 4D ultrasound.

The development of facial musculature and expressions in the human fetus represents a critical inter...

Differentiating adolescent suicidal and nonsuicidal self-harm with artificial intelligence: Beyond suicidal intent and capability for suicide.

Clinical differentiation between adolescent suicidal self-harm (SSH) and nonsuicidal self-harm (NSSH...

Automated pediatric TMJ articular disk identification and displacement classification in MRI with machine learning.

OBJECTIVE: To evaluate the performance of an automated two-step model interpreting pediatric temporo...

[Digital innovations in vaccination communication].

Despite the significant success of vaccinations, increasing vaccine hesitancy poses a threat to publ...

Tailoring ventilation and respiratory management in pediatric critical care: optimizing care with precision medicine.

PURPOSE OF REVIEW: Critically ill children admitted to the intensive care unit frequently need respi...

Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda.

BACKGROUND: Despite substantial progress in maternal and neonatal health, Rwanda's mortality rates r...

Advances of deep Neural Networks (DNNs) in the development of peptide drugs.

Peptides are able to bind to difficult disease targets with high potency and specificity, providing ...

A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD.

BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder ...

One size fits all: Enhanced zero-shot text classification for patient listening on social media.

Patient-focused drug development (PFDD) represents a transformative approach that is reshaping the p...

Machine learning-enhanced surface-enhanced spectroscopic detection of polycyclic aromatic hydrocarbons in the human placenta.

The detection and identification of polycyclic aromatic hydrocarbons (PAHs) and their derivatives, p...

SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis.

Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to...

Geometric deep learning with adaptive full-band spatial diffusion for accurate, efficient, and robust cortical parcellation.

Cortical parcellation delineates the cerebral cortex into distinct regions according to their distin...

Assessing ChatGPT Responses to Frequently Asked Questions Regarding Pediatric Supracondylar Humerus Fractures.

BACKGROUND: The internet and standard search engines are commonly used resources for patients seekin...

Establishing methodological standards for the development of artificial intelligence-based Clinical Decision Support in emergency medicine.

OBJECTIVE: Artificial intelligence (AI) offers opportunities for managing the complexities of clinic...

Weight loss-independent changes in human growth hormone during water-only fasting: a secondary evaluation of a randomized controlled trial.

INTRODUCTION: Water-only fasting for one day or more may provide health benefits independent of weig...

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