Celena Eccleston

Apr 12, 2024 | onlinelibrary.wiley.com | Daniel M. Goldenholz |Robert Moss |Celena Eccleston

Recently, a deep learning artificial intelligence (AI) model forecasted seizure risk using retrospective seizure diaries with higher accuracy than random forecasts. The present study sought to prospectively evaluate the same algorithm. We recruited a prospective cohort of 46 people with epilepsy; 25 completed sufficient data entry for analysis (median = 5 months). We used the same AI method as in our prior study.