PEDIA-ANALYTICS 2026

Pediatric research landscape analysis (Cohort Q2)

Integrated database (N=346)
Pediatric Scientific Analysis Report & Interactive Database

The Pediatric Research Landscape (Q2 2026)

A systematic mapping of 346 scientific publications across 19 leading pediatric journals. Explore the major trends in neonatology, the rise of clinical machine learning, and infant pain-reduction protocols.

Total journals analyzed 19 journals
Leading key domain Neonatology (30.1%)
Innovative methods AI & Machine Learning (12.7%)
Neonatology & Perinatology

30.1%

104 publications focused on neonatal care

Diagnostics & Imaging

62.7%

217 articles focused on imaging & diagnostics

Modeling & Clinical AI

12.7%

44 articles incorporate machine learning

Public Health & Epidemiology

20.8%

72 cohort or social-prevention studies

Leading Pediatric Domains

Thematic distribution based on the 2026 report classification

Innovation: Pediatric AI

Machine-learning models (such as XGBoost and Random Forest) are now being actively deployed to predict complex outcomes such as neonatal sepsis or anemia and asthma-control trajectories.

View the Sepsis AI Study

Active Pediatric Literature Matrix

Dynamic search across the full 346 pediatric publications in the source cohort

Study Title & Authors Journal Primary Theme Action
Showing 346 publications Active system citation index