Predicting response to neuromodulation therapies in drug-resistant epilepsy using machine learning models: a meta-analysis and systematic review

Our study suggests that multimodal ML approaches show promising performance in predicting response to neuromodulation strategies in patients with drug-resistant epilepsy. However, the limited number of studies, the scarcity of external validation and small cohorts highlight the need for larger, high-quality prospective investigations to confirm these findings and improve the generalizability of ML-based prediction models.