Pediatrics

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

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External Validation of Predictive Models for Diagnosis, Management and Severity of Pediatric Appendicitis

Appendicitis is a common condition among children and adolescents. Machine learning models can offer...

Antisense oligonucleotide depletion of CCDC146 is a broad-spectrum therapeutic strategy for ALS

Amyotrophic lateral sclerosis (ALS) is a heritable and incurable disease defined by the degeneration...

Predicting coronary artery abnormalities in Kawasaki disease: Model development and external validation

Kawasaki disease (KD) is an acute, pediatric vasculitis associated with coronary artery abnormality ...

Reading Between the Signs: Predicting Future Suicidal Ideation from Adolescent Social Media Texts

Suicide is a leading cause of death among adolescents (aged 12–18), yet predicting it remains a sign...

Detecting Stigmatizing Language in Clinical Notes with Large Language Models for Addiction Care

Recent studies have found that stigmatizing terms can incline physicians to pursue punitive approach...

Predicting Mental and Psychomotor Delay in Very Pre-term Infants using Large Language Models

Very preterm infants face a considerably higher risk of neurodevelopmental delays, making early diag...

Sex-Specific Diagnostic Subtypes in Adolescents Hospitalized for Substance Use Disorders Revealed by Transformer-Based Clustering

Substance use disorders (SUD) are a leading cause of psychiatric hospitalization among adolescents, ...

Using deep learning methods to shorten acquisition time in children’s renal cortical imaging

This study evaluates the capability of diffusion-based generative models to reconstruct diagnostic-q...

Beyond Accuracy in Small Open-Source Medical Large Language Models for Pediatric Endocrinology

Small open-source medical large language models (LLMs) offer promising opportunities for low-resourc...

Responsible AI in Action: Planning through Implementation of a Mortality Model for Palliative Care

Interest in the use of prediction models to support referrals to palliative care is surging. Few hig...

Natural Language Processing to Build a Multicenter Computable Phenotype Library for Adults with Congenital Heart Disease

Our objective was to build classifiers for multiple phenotypes that categorize a cohort of adults wi...

Signal Mining and Analysis of Adverse Events of Isotretinoin: 20-year real-world pharmacovigilance analysis based on the FAERS database

To identify post-marketing adverse event (AE) signals associated with isotretinoin using real-world ...

Longitudinal development of sex differences in the limbic system is associated with age, puberty and mental health

Sex differences in mental health become more evident across adolescence, with a two-fold increase of...

Toward Non-Invasive Voice Restoration: A Deep Learning Approach Using Real-Time MRI

Despite recent advances in brain–computer interfaces (BCIs) for speech restoration, existing systems...

Epigenetic patient stratification reveals a sub-endotype of type 2 asthma with altered B-cell response

Despite biomarker-guided treatment strategies, clinical outcomes among patients with type 2 (T2)-hig...

Refining the genetic landscape of anophthalmia and microphthalmia: a comprehensive framework with deep learning and updated gene panels

Anophthalmia and microphthalmia (A/M) are rare congenital eye disorders with a low molecular diagnos...

From Sequences to Strategies: Early Detection of New SARS-CoV-2 Variants via Genetic Distance to Reduce Hospitalizations

The COVID-19 pandemic highlighted the critical need for robust methods to monitor viral evolution an...

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