Pediatrics

TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT

Adenoid hypertrophy stands as a common cause of obstructive sleep apnea-hypopnea syndrome in child...

Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI

Brain development in the first few months of human life is a critical phase characterized by rapid...

AI-Assisted Application for Pediatric Drug Dosing.

Technology in the medical field is continuously advancing due to its numerous subdomains and the eve...

Bayesian unsupervised clustering identifies clinically relevant osteosarcoma subtypes.

Identification of cancer subtypes is a critical step for developing precision medicine. Most cancer ...

Primary care research on hypertension: A bibliometric analysis using machine-learning.

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical con...

Deep learning-based design and experimental validation of a medicine-like human antibody library.

Antibody generation requires the use of one or more time-consuming methods, namely animal immunizati...

RatGene: Gene deletion-addition algorithms using growth to production ratio for growth-coupled production in constraint-based metabolic networks

In computational metabolic design, it is often necessary to modify the original constraint-based m...

DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic Models

When simulating metabolite productions with genome-scale constraint-based metabolic models, gene d...

Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues

With the rapid growth of digital information, personalized recommendation systems have become an i...

AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury

Hypoxic-Ischemic Encephalopathy (HIE) affects 1 to 5 out of every 1,000 newborns, with 30% to 50% ...

Leveraging Large Language Models for Enhancing Public Transit Services

Public transit systems play a crucial role in providing efficient and sustainable transportation o...

The Gradient of Health Data Privacy

In the era of digital health and artificial intelligence, the management of patient data privacy h...

Transitioning Together: Collaborative Work in Adolescent Chronic Illness Management

Adolescents with chronic illnesses need to learn self-management skills in preparation for the tra...

Detecting LGBTQ+ Instances of Cyberbullying

Social media continues to have an impact on the trajectory of humanity. However, its introduction ...

Identifying Primary Proximal Caries Lesions in Pediatric Patients From Bitewing Radiographs Using Artificial Intelligence.

To develop a no-code artificial intelligence (AI) model capable of identifying primary proximal sur...

Dynamic landscapes and statistical limits on growth during cell fate specification

The complexity of gene regulatory networks in multicellular organisms makes interpretable low-dime...

Towards consistency in pediatric brain tumor measurements: Challenges, solutions, and the role of artificial intelligence-based segmentation.

MR imaging is central to the assessment of tumor burden and changes over time in neuro-oncology. Sev...

Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations

With the rapid development of social media, the importance of analyzing social network user data h...

Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features

The study aims to investigate the similarities and differences in the brain damage caused by Hypox...

Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE).

Purpose To develop a deep learning algorithm to predict 2-year neurodevelopmental outcomes in neonat...

Overlooked Benefits, Risks, and Assumptions of AI Integration in Pediatric Care-Reply.