Latest AI and machine learning research in pediatrics for healthcare professionals.
PURPOSE: Malnutrition remains a critical public health issue in low-income countries, significantly hindering economic development and contributing to over 50% of infant deaths. Under nutrition weakens immune systems, increasing susceptibility to common illnesses and prolonging recovery periods. This study aims to develop and evaluate a novel artificial intelligence-based classification method for...
Pediatric low-grade gliomas (pLGG) are the most common brain tumour in children, and the molecular diagnosis of pLGG enables targeted treatment. We use MRI-based Convolutional Neural Networks (CNNs) for molecular subtype identification of pLGG and augment the models using tumour location probability maps. MRI FLAIR sequences of 214 patients (110 male, mean age of 8.54 years, 143 BRAF fused and 7...
INTRODUCTION: Patients have long turned to the Internet for answers to common medical questions. As the ability to access information evolves beyond s...
OBJECTIVE: The objective of this study was to analyze the incidence and overall survival (OS) of osteosarcoma (OSC) and Ewing's sarcoma (EWS) in a ped...
Ten percent of adults in the United States have a diagnosis of diabetes and up to a third of these individuals will develop a diabetic foot ulcer (DFU...
Long-term phenological data in alpine regions are often limited to a few locations and thus, little is known about climate-change-induced plant phenol...
Structural neuroimaging studies of patients with Juvenile Myoclonic Epilepsy (JME) typically present two findings: 1-volume reduction of subcortical g...
Non-compaction cardiomyopathy (NCCM) is a rare, congenital form of cardiomyopathy characterized by excessive trabeculations in the left ventricle myoc...
This article deals with the description and recognition of fiber bundles, in particular nerves, in medical images, based on the anatomical descripti...
This study introduces a cutting-edge architecture developed for the NewbornTime project, which uses advanced AI to analyze video data at birth and d...
Recent advancements in AI-based multimedia generation have enabled the creation of hyper-realistic images and videos, raising concerns about their p...
Combining physics-based modeling with data-driven methods is critical to enabling the translation of computational methods to clinical use in cardio...
Early detection of asthma in children is crucial to prevent long-term respiratory complications and reduce emergency interventions. This work presen...
Adolescents and young adults (AYAs) are one of the major populations susceptible to tuberculosis. However, little is known about the unique characteri...
As digital media use continues to evolve and influence various aspects of life, developing flexible and scalable tools to study complex media experi...
This paper introduces a novel AI vision-enabled pediatric prosthetic hand designed to assist children aged 10-12 with upper limb disabilities. The p...
Minimum distortion steganography is currently the mainstream method for modification-based steganography. A key issue in this method is how to defin...
Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to increased mortality and morbidity. Early prediction o...
The analysis of plant developmental plasticity, including root system architecture, is fundamental to understanding plant adaptability and developme...
Neuroblastoma, adrenal-derived, is among the most common pediatric solid malignancies, characterized by significant clinical heterogeneity. Timely a...