Pediatrics

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

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Segmentation of Muscularis Propria in Colon Histopathology Images Using Vision Transformers for Hirschsprung's Disease

Hirschsprung's disease (HD) is a congenital birth defect diagnosed by identifying the lack of gang...

Faces Speak Louder Than Words: Emotions Versus Textual Sentiment in the 2024 USA Presidential Election

Sentiment analysis of textual content has become a well-established solution for analyzing social ...

Multi-concept Model Immunization through Differentiable Model Merging

Model immunization is an emerging direction that aims to mitigate the potential risk of misuse ass...

Corn Ear Detection and Orientation Estimation Using Deep Learning

Monitoring growth behavior of maize plants such as the development of ears can give key insights i...

Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking

Referring multi-object tracking (RMOT) is an emerging cross-modal task that aims to localize an ar...

BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR

Pediatric Emergency Department (PED) overcrowding presents a significant global challenge, prompti...

Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

The measurement of fetal thalamus diameter (FTD) and fetal head circumference (FHC) are crucial in...

Co-creating Humanistic AI AgeTech to Support Dynamic Care Ecosystems: A Preliminary Guiding Model.

As society rapidly digitizes, successful aging necessitates using technology for health and social c...

Dec 2024 39094095
The role of the microbiota-gut-brain axis and artificial intelligence in cognitive health of pediatric obstructive sleep apnea: A narrative review.

Pediatric obstructive sleep apnea (OSA) is a prevalent sleep-related breathing disorder associated w...

Dec 2024 39686454
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation

Reliable prediction of pediatric obesity can offer a valuable resource to providers, helping them ...

Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors

Accurate segmentation of brain tumors from 3D multimodal MRI is vital for diagnosis and treatment ...

Access to care improves EHR reliability and clinical risk prediction model performance

Disparities in access to healthcare have been well-documented in the United States, but their effe...

3D Graph Attention Networks for High Fidelity Pediatric Glioma Segmentation

Pediatric brain tumors, particularly gliomas, represent a significant cause of cancer related mort...

PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models

The emergence of Large Language Models (LLMs) in the medical domain has stressed a compelling need...

A Self-Learning Multimodal Approach for Fake News Detection

The rapid growth of social media has resulted in an explosion of online news content, leading to a...

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation

Accurate and automatic segmentation of brain tumors in multi-parametric magnetic resonance imaging...

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Motion artifacts caused by prolonged acquisition time are a significant challenge in Magnetic Reso...

Comparative Performance of Machine Learning Algorithms for Early Genetic Disorder and Subclass Classification

A great deal of effort has been devoted to discovering a particular genetic disorder, but its clas...

The Evolution and Future Perspectives of Artificial Intelligence Generated Content

Artificial intelligence generated content (AIGC), a rapidly advancing technology, is transforming ...

HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning

Birth Apshyxia (BA) is a severe condition characterized by insufficient supply of oxygen to a newb...

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