Drug-resistant epilepsy often requires precise identification of seizure onset zones using SEEG recordings. This article presents a Variational Autoencoder–based deep learning framework that detects and interprets seizure onset phases with transparency, helping clinicians accelerate diagnosis and build trust in AI-assisted neurology.