Pediatrics

Database Systems Course: Service Learning Project

This paper describes a service learning project used in an upper-level and graduate-level database...

Safe and Equitable Pediatric Clinical Use of AI.

Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario.

Purpose To develop, externally test, and evaluate clinical acceptability of a deep learning pediatri...

An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis.

Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease during childhood and adoles...

Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification.

As machine learning increasingly plays a crucial role in various medical applications, the need for ...

Improving Neonatal Care with AI: Class Weight Optimization for Respiratory Distress Syndrome Prediction in Very Low Birth Weight Infants.

In this study, we developed an AI model to predict Respiratory Distress Syndrome (RDS) in premature ...

Automated Intraoperative Visual Detection of Pediatric Epileptogenic Brain Lesions Using a Machine Learning Classifier.

450,000 children with epilepsy in the United States suffer lifelong disability and are at risk of su...

Preliminary Experimental Validation of a Cable-Driven Joint System for Custom Orthoses.

Robot-assisted gait training has the potential to enhance gait therapy for children with mobility im...

HRV-based Monitoring of Neonatal Seizures with Machine Learning.

With the rapid development of machine learning (ML) in biomedical signal processing, ML-based neonat...

The expanding role of artificial intelligence in the histopathological diagnosis in urological oncology: a literature review.

The ongoing growth of artificial intelligence (AI) involves virtually every aspect of oncologic care...

Impact of Initialization on Intra-subject Pediatric Brain MR Image Registration: A Comparative Analysis between SyN ANTs and Deep Learning-Based Approaches

This study evaluates the performance of conventional SyN ANTs and learning-based registration meth...

Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers

Acute Leukemia is the most common hematologic malignancy in children and adolescents. A key method...

Pervasive Technology-Enabled Care and Support for People with Dementia: The State of Art and Research Issues

Dementia is a mental illness that people live with all across the world. No one is immune. Nothing...

VR-NRP: A Virtual Reality Simulation for Training in the Neonatal Resuscitation Program

The use of Virtual Reality (VR) technologies has been extensively researched in surgical and anato...

Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning

The advent of Large Language Models (LLMs) and Artificial Intelligence (AI) tools has revolutioniz...

Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination

The COVID-19 pandemic exposed significant weaknesses in the healthcare information system. The ove...

Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph

Fake news detection in social media has become increasingly important due to the rapid proliferati...

Artificial Intelligence-Generated Social Media Content Creation and Management Strategies for Plastic Surgeons.

BACKGROUND: Social media platforms have come to represent integral components of the professional ma...

A Sociotechnical Lens for Evaluating Computer Vision Models: A Case Study on Detecting and Reasoning about Gender and Emotion

In the evolving landscape of computer vision (CV) technologies, the automatic detection and interp...

Automatic diagnosis of pediatric supracondylar humerus fractures using radiomics-based machine learning.

The aim of this study was to construct a classification model for the automatic diagnosis of pediatr...

Comparing Robot Controller Optimization Methods on Evolvable Morphologies.

In this paper, we compare Bayesian Optimization, Differential Evolution, and an Evolution Strategy e...