Pediatrics

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

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Development and validation of neonatal jaundice detection using smartphone application.

BACKGROUND: Neonatal jaundice is highly prevalent in newborns globally, requiring vigilant monitorin...

Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation vir...

Unveiling social determinants of health impact on adverse pregnancy outcomes through natural language processing.

Understanding the role of Social Determinants of Health (SDoH) in pregnancy outcomes is critical for...

Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods.

COVID-19 has posed a significant global health challenge, affecting individuals across all age group...

A Cohort Study of Pediatric Severe Community-Acquired Pneumonia Involving AI-Based CT Image Parameters and Electronic Health Record Data.

INTRODUCTION: Community-acquired pneumonia (CAP) is a significant concern for children worldwide and...

Current role of artificial intelligence and machine learning: is their application feasible in pediatric upper airway obstructive disorders?

PURPOSE: The aim of this article was to conduct a systematic review to evaluate the role and reliabi...

CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development.

Artificial intelligence (AI) holds immense potential to transform gastrointestinal endoscopy by redu...

Artificial Intelligence for the Detection of Fetal Ultrasound Findings Concerning for Major Congenital Heart Defects.

OBJECTIVE: To evaluate the performance of an artificial intelligence (AI)-based software to identify...

A Spatiotemporal Causal Model for Revealing Developmental Changes in Infants' Brain Effective Connectivity Networks During the First Year of Life.

OBJECTIVE: The infant's brain undergoes significant structural and physiological transformations dur...

Pharmacovigilance: Overview of Italian and European regulations, tools, and perspectives.

BackgroundThis study provides a concise overview of the Italian and European pharmacovigilance (PV) ...

Development and evaluation of large-language models (LLMs) for oncology: A scoping review.

Large language models (LLMs), a significant development in artificial intelligence (AI), are continu...

Screen Time Is Associated With Cardiometabolic and Cardiovascular Disease Risk in Childhood and Adolescence.

BACKGROUND: Screen time in children and adolescents may be linked to cardiometabolic and cardiovascu...

PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces.

Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) have emerged as a transformative...

Enhancing pediatric distal radius fracture detection: optimizing YOLOv8 with advanced AI and machine learning techniques.

BACKGROUND: In emergency departments, residents and physicians interpret X-rays to identify fracture...

From exencephaly to anencephaly: a catastrophic continuum of neural tube defects from embryogenesis to ultrasonographic diagnosis.

INTRODUCTION: Neural tube defects (NTDs) are severe congenital anomalies arising from incomplete clo...

The state of the art in artificial intelligence and digital pathology in prostate cancer.

Prostate cancer is among the most common cancers worldwide, with ~1.5 million new diagnoses globally...

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