Progress toward use of machine learning and deep learning techniques to inform epilepsy surgery decisions for individual patients is well underway. We share a status report on Cleveland Clinic’s experience in this space.
New patient series show that MR fingerprinting contributes to epileptic lesion characterization beyond conventional MRI and that computer-assisted MRI post-processing enhances detection of subtle abnormalities in challenging cingulate and orbitofrontal epilepsies.
This case study of an 11-year-old illustrates the pivotal role advanced imaging techniques can play in presurgical evaluation to broaden the pool of candidates for curative epilepsy surgery.
This image-rich post profiles how we are using machine-learning algorithms to inform detection and delineation of pathological substrates on imaging studies in MS and epilepsy.