Children's Hospital Srebrnjak

Artificial intelligence‐assisted categorization of interictal abnormalities in adult long‐term electroencephalographic monitoring: Comparable diagnostic accuracy with marked efficiency gain

Abstract Objective Artificial intelligence (AI) classifies routine electroencephalograms (EEGs) with expert‐level accuracy, but interpretation of long‐term EEG monitoring (LTM) remains reliant on time‐intensive visual review. We evaluated whether autoSCORE, a clinically approved...

Outdoor Environmental Risk Factors for Paediatric Ragweed Sensitisation: A Formal Model Comparison

Background/Objectives: Ragweed (Ambrosia artemisiifolia) is a major aeroallergen in Central and Eastern Europe. Croatian children in regions with twofold difference in pollen exposure show near-identical sensitisation prevalence (the “Zagreb paradox”), and an earlier analysis fou...