Machine Learning for Precision Epilepsy Surgery
Lara Jehi
Abstract
Brain surgery offers the best chance of seizure-freedom for patients with focal drug-resistant epilepsy, but only 50% achieve sustained seizure-freedom. With the explosion of data collected during routine presurgical evaluations and recent advances in computational science, we now have a tremendous potential to achieve precision epilepsy surgery: a data-driven tailoring of surgical planning. This review highlights the clinical need, the relevant computational science focusing on machine learning, and discusses some specific applications in epilepsy surgery.
Topics & Concepts
EpilepsyEpilepsy surgeryMedicineDrug Resistant EpilepsyArtificial intelligencePrecision medicineMachine learningSurgical planningMedical physicsData scienceComputer scienceSurgeryPsychiatryPathologyEpilepsy research and treatmentAdvanced Neural Network ApplicationsEEG and Brain-Computer Interfaces