Tilo Gschwind

Nov 20, 2023 | onlinelibrary.wiley.com | Andrew Knight |Tilo Gschwind |Peter D. Galer |Gregory Worrell

Artificial intelligence (AI) allows data analysis and integration at an unprecedented granularity and scale. Here we review the technological advances, challenges and future perspectives of using AI for electro-clinical phenotyping of animal models and patients with epilepsy. In translational research AI models accurately identify behavioral states in animal models of epilepsy, allowing identification of correlations between neural activity and interictal and ictal behavior.