From Data to Decision: Development and Open Multi-Center Validation of an AI-Enabled Decision Support System for Pediatric Epilepsy Diagnosis and Treatment

Decision support systems (DSS) support clinical reasoning with evidence-based recommendations. In pediatric epileptology, integrating multimodal data-EEG, seizure semiology, therapy, imaging, etc.-can improve diagnostic consistency and guide therapy selection beyond EEG-only approaches. Advances in attention-based deep learning enable the detection of complex patterns in real-world data while preserving clinician oversight and alignment with ILAE standards. Our goal is to develop and validate an AI-enabled DSS that supports standardized diagnosis and treatment decision-making in children and adolescents with epilepsy, and to establish an open, scalable framework for multi-center external validation.