Pediatrics

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

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From Concept to Code: AI- Powered CODE-ICH Transforming Acute Neurocritical Response for Hemorrhagic Strokes

Intracerebral hemorrhage (ICH) is among the most devastating forms of stroke, characterized by high ...

Towards Automated Neonatal EEG Analysis: Multi-Center Validation of a Reliable Deep Learning Pipeline

To evaluate the reliability and generalization of NeoNaid, a fully automated software tool for neona...

Leveraging Reddit data for Context-enhanced Synthetic Health Data Generation to Identify Low Self Esteem

Low self-esteem (LoST) is a latent yet critical psychosocial risk factor that predisposes individual...

PregMedNet: Multifaceted Maternal Medication Impacts on Neonatal Complications

While medication use is common among pregnant women, medication safety remains insufficiently charac...

A Glioma Stem Cell–Associated Transcriptomic Program Predicts Survival Across Adult and Pediatric High-Grade Gliomas

High-grade gliomas (HGGs), including adult glioblastoma (GBM) and pediatric diffuse intrinsic pontin...

Hemi-brain growth as a biomarker for whole brain growth

Accurate cerebrospinal fluid (CSF) and brain volume estimation are important components for evaluati...

Development and Validation of a parsimonious AI-Based Risk Score for Mortality in Heart Failure: A UK cohort study

Accurate risk stratification in heart failure (HF) is crucial to guide clinical decisions, optimise ...

Open-source solution for evaluation and benchmarking of large language models for public health

Large language models (LLMs) have demonstrated remarkable capabilities in various natural language p...

Synthetic Validation of Pediatric Trust Instruments using Persona-Driven Large Language Models

Trust is foundational to patient-physician relationships and is associated with improved care-seekin...

Artificial Intelligence Predicts Health-Related Quality of Life for Adolescent Idiopathic Scoliosis

Adolescent idiopathic scoliosis (AIS) has a large impact on health-related quality of life (HRQoL) i...

Topological Entropy and Homology Reveal Interpretable and Real-Time Neural Signatures in Pediatric EEG

Decoding neural states from pediatric EEG in naturalistic settings remains challenging due to signal...

Quantitative EEG-Based Deep Learning for Neonatal Seizure Detection using Conv-LSTM

Neonatal seizures cause significant morbidity and mortality, both acutely and in the long term, cont...

Examining public acceptance of AI versus human-centric dementia care across NHS England’s dementia pathway stages

With dementia diagnoses in the UK projected to exceed one million in 2025, there is an urgent need f...

Microscale Multiplexed Antigen-Specific Antibody Fc Profiling for Point-of-Care Diagnosis of Tuberculosis

Accurate, affordable tuberculosis (TB) diagnostics that do not require sputum samples are urgently n...

Brain activity as a candidate biomarker for personalised caffeine treatment in premature neonates

Medication in hospitalised infants is often prescribed using a ‘one-size-fits-all’ approach due to l...

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