Overview
This research explores how our digital biomarker derived from routine EEGs can be used to prioritise follow-up testing for people with suspected epilepsy. By identifying those at highest risk earlier, this approach aims to reduce diagnostic delays and improve clinical resource allocation. This research is part of a broader effort to integrate computational tools into neurology for faster, more accurate diagnosis.
Authors
Rosie Charles, Emanuela De Falco, Elizabeth Galizia, David Martin-Lopez, Kay Meiklejohn, David Allen, Lydia E. Staniaszek, Chris Price, Sophie Georgiou, Manny Bagary, Sakh Khalsa, Charlotte Lawthom, Rohit Shankar, John R. Terry, Wessel Woldman
Found in
Epilepsy & Behaviour, Volume 177