Simon Fraser University Brain Behavior Lab
Epilepsy in children poses significant diagnostic challenges, particularly in distinguishing between benign and non-benign forms. The subtleties of Electroencephalograms (EEGs), used in diagnosis, often confound even experienced EEG readers, making correct diagnosis a difficult but critical task.
Praxis partnered with the Brain Behavior Lab at Simon Fraser University to employ an early machine learning Artificial Intelligence (AI) for epilepsy diagnosis. By creating a multi-level neural network trained on verified epilepsy data, Praxis’s system was able to categorize unexamined EEGs into benign and non-benign groups.
The AI-driven solution delivered an impressive accuracy rate of over 80% in distinguishing between benign and non-benign epilepsy. With larger training data, accuracy could potentially reach the mid to high 90% range. This research was partly funded by the National Research Council of Canada.