Pediatrics

[Cerebral neuromodulation in neurodevelopmental disorders].

Neurodevelopmental disorders comprise a heterogeneous group of conditions characterized by earlyonse...

Pediatric Personalized Deep Learning Models for Segmentation of Hepatoblastoma at CT and MRI.

Purpose To evaluate the generalizability of adult-trained models for hepatoblastoma segmentation to ...

Maternal and Pediatric Precision in Therapeutic Knowledge Portal (MPRINT-KP): Landscape Analysis of Pharmacology Research in Maternal and Pediatric Patient Populations.

Pregnant women and children have been underrepresented in clinical studies due to ethical concerns a...

Fetal and neonatal alloimmune thrombocytopenia (FNAIT): From reactive transfusion to proactive prevention.

Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, ...

Examining media coverage of ethical dimensions of advanced algorithmic technology.

The rapid integration of artificial intelligence, machine learning, and data science into daily life...

Evaluating Accuracy of ChatGPT-4o in Automated Carbohydrate Estimation From Images as a Self-Management Tool for Adolescents With Type 1 Diabetes.

INTRODUCTION: Type 1 diabetes mellitus (T1D) requires precise carbohydrate estimation to manage bloo...

Stage-specific climate risks to winter wheat in China: actionable pathways to reconcile yield loss and protein gains.

As the global population continues to rise, ensuring nutrition security has become an increasingly c...

Predicting mortality and short-term outcomes of continuous kidney replacement therapies in neonates and infants.

BACKGROUND: Continuous kidney replacement therapy (CKRT) has emerged as a valuable treatment option ...

The Future Was Yesterday. Artificial Intelligence in Newborn Medicine.

Liquid-Sequencer: A Lightweight Liquid Neural Network for Real-Time Fetal Congenital Heart Disease Diagnosis.

Congenital heart disease (CHD) is the leading cause of neonatal mortality worldwide, making early an...

Machine learning estimation of FVIII pharmacokinetic parameters in Chinese children with severe Hemophilia A.

Hemophilia A is a rare inherited bleeding disorder typically managed with coagulation factor VIII (F...

Identification of key clinical features for pediatric respiratory syncytial virus infection using machine learning.

Effective communication training to support person- and whānau-centred care: what is needed and why isn't it happening?

AIMS: We sought to investigate the current state of education to support person- and whānau-centred ...

A Preliminary Report: Screening Idiopathic Scoliosis (IS) With a Smartphone Application.

INTRODUCTION: Idiopathic scoliosis (IS) is a 3-dimensional spinal deformity that affects ∼3.1% of th...

New treatments to rabies virus infections.

Rabies disease is the deadliest of all virus infections. Till now, vaccination is the most effective...

Integrating Multimodal Neuroimaging and Physical-Health Markers for Autism Spectrum Disorder in the ABCD Study.

BACKGROUND: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized b...

Integrating Clinical Modeling and Machine Learning for Risk Assessment of Paracetamol and Other Nonsteroidal Anti-Inflammatory Drug Hypersensitivity in Children.

BACKGROUND: Nonsteroidal anti-inflammatory drug (NSAID) hypersensitivity is a common cause of drug-r...

Artificial intelligence for personalized multiple micronutrient supplementation in maternal health.

Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pre...

Clinically interpretable deep learning for pediatric dental age estimation with explainable AI.

EXPRESS: A Sentiment Analysis Study for Reflecting Society Insights on COVID-19 Vaccine Mid-Term Side Effects.

Social media discourse has the capacity to influence public perceptions of health-related issues. Un...

What practicing pathologists and oncologists should know about the new computational pathology-based companion diagnostic tools.

The integration of artificial intelligence into pathology is transforming the assessment of histolog...