Traditional Magnetic Resonance Imaging analysis often misses subtle abnormalities, which are critical in diagnosing conditions like epilepsy. Discover how we developed a state-of-the-art Convolutional Neural Network (CNN) using continual learning to enhance MRI diagnostic accuracy and reduce false positives. Join us to explore FCDs (focal cortical dysplasias) and continual learning, and gain insights from our research in cooperation with a leading European Epilepsy Center, which has been honored by publications in renowned medical journals.