Pediatrics

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

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Development of machine learning-based models to predict congenital heart disease: A matched case-control study.

BACKGROUND: The current congenital heart disease (CHD) prediction tools lack adequate interpretabili...

Machine Learning-based Prediction of Blood Stream Infection in Pediatric Febrile Neutropenia.

OBJECTIVES: This study aimed to develop machine learning (ML) prediction models for identifying bloo...

Integrating graph and reinforcement learning for vaccination strategies in complex networks.

Pandemics like COVID-19 have a huge impact on human society and the global economy. Vaccines are eff...

The Role of Artificial Intelligence and Machine Learning in Accelerating the Discovery and Development of Nanomedicine.

The unique potential of nanomedicine to address challenging health issues is rapidly advancing the f...

Parallel development of object recognition in newborn chicks and deep neural networks.

How do newborns learn to see? We propose that visual systems are space-time fitters, meaning visual ...

Juxtaposition of bone age and sexual maturity rating of the Taiwanese population.

BACKGROUND: Bone age (BA) and sexual maturity rating (SMR) are crucial measures in assessing adolesc...

Neural network procedures for the cholera disease system with public health mediations.

Severe gastrointestinal infections and watery diseases like cholera are still a major worldwide medi...

Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine.

BACKGROUND: Health data comprise data from different aspects of healthcare including administrative,...

Pediatric Liver Transplant Pathology: An Update and Practical Consideration.

This review provides a summary of the diagnostic approach to pediatric liver transplantation (LT) pa...

Dynamics of infectious disease mathematical model through unsupervised stochastic neural network paradigm.

The viruses has spread globally and have been impacted lives of people socially and economically, wh...

Machine Learning Models as Early Warning Systems for Neonatal Infection.

Neonatal infections pose a significant threat to the health of newborns. Associated morbidity and mo...

DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor.

Cardiotocography (CTG) is the main tool available to detect neonatal acidemia during delivery. Prese...

Categorization of Novel Research Ideas Regarding Adolescent Idiopathic Scoliosis Generated by Artificial Intelligence.

Background  The generation of innovative research ideas is crucial to advancing the field of medicin...

Spatiotemporal Deep Learning-Based Cine Loop Quality Filter for Handheld Point-of-Care Echocardiography.

The reliability of automated image interpretation of point-of-care (POC) echocardiography scans depe...

Current update on the neurological manifestations of long COVID: more questions than answers.

Since the outbreak of the COVID-19 pandemic, there has been a global surge in patients presenting wi...

The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction.

The Developing Human Connectome Project (dHCP) aims to explore developmental patterns of the human b...

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.

PURPOSE: There are many radiological datasets for breast cancer, some which have supported the devel...

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