Artificial Intelligence and Machine Learning in Pediatric Epilepsy: A Systematic Review

This systematic review evaluates AI-based tools for interpreting clinical data in pediatric epilepsy, finding that convolutional neural networks and support vector machines achieve diagnostic accuracy exceeding 90% for EEG analysis and seizure detection. While results are promising, the authors note that current validation is limited by small cohort sizes and emphasize the need for large-scale, multicenter studies before clinical implementation.