Pediatrics

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

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TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

Precise parcellation of functional networks (FNs) of early developing human brain is the fundament...

Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration

Rapid bone scintigraphy is an essential tool for diagnosing skeletal diseases and tumor metastasis...

Biomedical Foundation Model: A Survey

Foundation models, first introduced in 2021, are large-scale pre-trained models (e.g., large langu...

Composed Multi-modal Retrieval: A Survey of Approaches and Applications

With the rapid growth of multi-modal data from social media, short video platforms, and e-commerce...

Electrocardiogram-based deep learning to predict mortality in paediatric and adult congenital heart disease.

BACKGROUND AND AIMS: Robust and convenient risk stratification of patients with paediatric and adult...

Mar 2025 39387652
A Multianalyte Machine Learning Model to Detect Wrong Blood in Complete Blood Count Tube Errors in a Pediatric Setting.

BACKGROUND: Multianalyte machine learning (ML) models can potentially identify previously undetectab...

Mar 2025 39797417
Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy

Large language models (LLMs) hold substantial promise for clinical decision support. However, thei...

Can GPTs Accelerate the Development of Intelligent Diagnosis and Treatment in Traditional Chinese Medicine? A Survey and Empirical Analysis.

Intelligent traditional Chinese medicine (TCM) is a key pathway toward the modernization and globali...

Mar 2025 39989008
Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.

BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients wit...

Mar 2025 40035168
Bridging the Gap in Neonatal Care: Evaluating AI Chatbots for Chronic Neonatal Lung Disease and Home Oxygen Therapy Management.

OBJECTIVE: To evaluate the accuracy and comprehensiveness of eight free, publicly available large la...

Mar 2025 40042139
Towards artificial intelligence application in pain medicine.

Pain is a complex, multidimensional experience involving significant challenges in both diagnosis an...

Mar 2025 40084580
Validating the predictions of mathematical models describing tumor growth and treatment response

Despite advances in methods to interrogate tumor biology, the observational and population-based a...

FungalZSL: Zero-Shot Fungal Classification with Image Captioning Using a Synthetic Data Approach

The effectiveness of zero-shot classification in large vision-language models (VLMs), such as Cont...

Graph-Based Deep Learning on Stereo EEG for Predicting Seizure Freedom in Epilepsy Patients

Predicting seizure freedom is essential for tailoring epilepsy treatment. But accurate prediction ...

FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis

Foundation models are becoming increasingly effective in the medical domain, offering pre-trained ...

Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning

Birth weight serves as a fundamental indicator of neonatal health, closely linked to both early me...

Towards Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbations

Cerebral Palsy (CP) is a prevalent motor disability in children, for which early detection can sig...

Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation

Social media enables dynamic user engagement with trending topics, and recent research has explore...

WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture

Weed management remains a critical challenge in agriculture, where weeds compete with crops for es...

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