Pediatrics

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

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Reply to Keles et al. Comment on "Dalboni da Rocha et al. Artificial Intelligence for Neuroimaging in Pediatric Cancer. 2025, , 622".

We thank the readers for their thoughtful reading of our review, "Artificial Intelligence for Neuroi...

Comment on Dalboni da Rocha et al. Artificial Intelligence for Neuroimaging in Pediatric Cancer. 2025, , 622.

As researchers actively working in the field of pediatric neuroimaging and artificial intelligence, ...

A dataset for quality evaluation of pelvic X-ray and diagnosis of developmental dysplasia of the hip.

Developmental Dysplasia of the Hip (DDH) stands as one of the preeminent hip disorders prevalent in ...

A pediatric ECG database with disease diagnosis covering 11643 children.

Electrocardiogram (ECG) is a common non-invasive diagnostic tool for cardiovascular diseases. Adequa...

SLC35A2 loss-of-function variants affect glycomic signatures, neuronal fate and network dynamics.

SLC35A2 encodes a UDP-galactose transporter essential for glycosylation of proteins and galactosylat...

Optimizing MRI sequence classification performance: insights from domain shift analysis.

BACKGROUND: MRI sequence classification becomes challenging in multicenter studies due to variabilit...

Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing.

Tuberculosis (TB) kills more people annually than any other pathogen. Resistance is an ever-increasi...

Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure.

BACKGROUND: Heart failure (HF) in children under five years of age carries a high risk of in-hospita...

Adaptive Machine Learning Framework enables Unprecedented Yield and Purity of Adeno-Associated Viral Vectors for Gene Therapy.

Adeno-associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, prov...

Research on prediction method of well logging reservoir parameters based on Multi-TransFKAN model.

Accurate prediction of reservoir parameters is crucial for enhancing oil exploration efficiency and ...

Development of a Heart Rate Variability Based Ambulatory Stress Detection Model for Clinical Populations.

Biosensor-based, real-time stress detection has generated clinical interest for the purpose of drivi...

Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data.

Nitrogen is an essential element for the growth and reproduction of vegetation in alpine grasslands ...

Novel Technologies in Preterm Birth Prediction: Current Advances and Ethical Challenges.

Preterm birth (PTB) remains a significant challenge in modern obstetric practice, posing considerabl...

Role of artificial intelligence in cancer drug discovery and development.

The role of artificial intelligence (AI) in cancer drug discovery and development has garnered signi...

Welzijn.AI: Developing responsible conversational AI for the care of older people through stakeholder involvement.

OBJECTIVES: We present Welzijn.AI, a new digital solution for monitoring (mental) well-being in olde...

Highlights of the Society for Cardiovascular Magnetic Resonance (SCMR) 2025 Conference: leading the way to accessible, efficient and sustainable CMR.

The 28th Annual Scientific Sessions of the Society for Cardiovascular Magnetic Resonance (SCMR) took...

IoT-enabled real-time health monitoring system for adolescent physical rehabilitation.

This study aims to develop an intelligent system leveraging Internet of Thing (IoT) technology to en...

Automated ventricular segmentation in pediatric hydrocephalus: how close are we?

OBJECTIVE: The explosive growth of available high-quality imaging data coupled with new progress in ...

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