Pediatrics

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

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Generating 3D brain tumor regions in MRI using vector-quantization Generative Adversarial Networks.

Medical image analysis has significantly benefited from advancements in deep learning, particularly ...

Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations.

Psychiatric disorders are influenced by genetic and environmental factors. However, their study is h...

Data-Driven Decision Support Tool Co-Development with a Primary Health Care Practice Based Learning Network.

BACKGROUND: The Alliance for Healthier Communities is a learning health system that supports Communi...

Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society.

Informal education via social media plays a crucial role in modern learning, offering self-directed ...

A meta-analysis of AI and machine learning in project management: Optimizing vaccine development for emerging viral threats in biotechnology.

OBJECTIVES: Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative te...

Novel neural network classification of maternal fetal ultrasound planes through optimized feature selection.

Ultrasound (US) imaging is an essential diagnostic technique in prenatal care, enabling enhanced sur...

NERVE 2.0: boosting the new enhanced reverse vaccinology environment via artificial intelligence and a user-friendly web interface.

BACKGROUND: Vaccines development in this millennium started by the milestone work on Neisseria menin...

Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury.

BACKGROUND: Nonsuicidal self-injury is a common health problem in adolescents and associated with fu...

Monitoring of the trough concentration of valproic acid in pediatric epilepsy patients: a machine learning-based ensemble model.

AIMS: Few personalized monitoring models for valproic acid (VPA) in pediatric epilepsy patients (PEP...

Development and Validation of an Explainable Prediction Model for Postoperative Recurrence in Pediatric Chronic Rhinosinusitis.

OBJECTIVE: This study aims to develop an interpretable machine learning (ML) predictive model to ass...

Does smart city construction promote urban green development? Evidence from a double machine learning model.

The issue of whether smart city construction (SCC) can promote urban green development (UGD) is cont...

Policy brief: Improving national vaccination decision-making through data.

Life course immunisation looks at the broad value of vaccination across multiple generations, callin...

SMART: Development and Application of a Multimodal Multi-organ Trauma Screening Model for Abdominal Injuries in Emergency Settings.

RATIONALE AND OBJECTIVES: Effective trauma care in emergency departments necessitates rapid diagnosi...

Brain networks and intelligence: A graph neural network based approach to resting state fMRI data.

Resting-state functional magnetic resonance imaging (rsfMRI) is a powerful tool for investigating th...

Rapid and high accuracy identification of culture medium by CNN of Raman spectra.

Culture media are widely used for biological research and production. It is essential for the growth...

Development of a machine learning model for prediction of intraventricular hemorrhage in premature neonates.

PURPOSE: Intraventricular hemorrhage (IVH) is a common and severe complication in premature neonates...

Machine learning-based prediction and model interpretability analysis for algal growth affected by microplastics.

Microplastics (MPs), the plastic debris smaller than 5 mm, are ubiquitous in waterbodies and have be...

Artificial intelligence in the care of children and adolescents with chronic diseases: a systematic review.

UNLABELLED: The integration of artificial intelligence (AI) and machine learning (ML) has shown pote...

The critical need for an open medical imaging database in Japan: implications for global health and AI development.

Japan leads OECD countries in medical imaging technology deployment but lacks open, large-scale medi...

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