Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study

BK Beaulieu-Jones, MF Villamar, P Scordis… - The Lancet Digital …, 2023 - thelancet.com
Background The evaluation and management of first-time seizure-like events in children can
be difficult because these episodes are not always directly observed and might be epileptic …

Machine learning for precision epilepsy surgery

L Jehi - Epilepsy Currents, 2023 - journals.sagepub.com
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 …

Predictive models of epilepsy outcomes

S Sheikh, L Jehi - Current Opinion in Neurology, 2024 - journals.lww.com
Good to excellent predictive models are now available to guide medical and surgical
epilepsy decision-making with nomograms offering individualized predictions and user …

Development and validation of the 5-SENSE score to predict focality of the seizure-onset zone as assessed by stereoelectroencephalography

A Astner-Rohracher, G Zimmermann, T Avigdor… - JAMA …, 2022 - jamanetwork.com
Importance Stereoelectroencephalography (SEEG) has become the criterion standard in
case of inconclusive noninvasive presurgical epilepsy workup. However, up to 40% of …

Normative brain mapping using scalp EEG and potential clinical application

V Janiukstyte, TW Owen, UJ Chaudhary, B Diehl… - Scientific Reports, 2023 - nature.com
A normative electrographic activity map could be a powerful resource to understand normal
brain function and identify abnormal activity. Here, we present a normative brain map using …

Quantitative analysis of visually reviewed normal scalp EEG predicts seizure freedom following anterior temporal lobectomy

Y Varatharajah, B Joseph, B Brinkmann… - …, 2022 - Wiley Online Library
Objective Anterior temporal lobectomy (ATL) is a widely performed and successful
intervention for drug‐resistant temporal lobe epilepsy (TLE). However, up to one third of …

A prediction model integrating synchronization biomarkers and clinical features to identify responders to vagus nerve stimulation among pediatric patients with drug …

J Ma, Z Wang, T Cheng, Y Hu, X Qin… - CNS Neuroscience …, 2022 - Wiley Online Library
Aims Vagus nerve stimulation (VNS) is a neuromodulation therapy for children with drug‐
resistant epilepsy (DRE). The efficacy of VNS is heterogeneous. A prediction model is …

Seizure outcome determinants in children after surgery for single unilateral lesions on magnetic resonance imaging: Role of preoperative ictal and interictal …

F Castro‐Villablanca, F Moeller, S Pujar, F D'Arco… - …, 2022 - Wiley Online Library
Objective To determine whether an ictal electroencephalographic (EEG) recording as part of
presurgical evaluation of children with a demarcated single unilateral magnetic resonance …

Early identification of candidates for epilepsy surgery: a multicenter, machine learning, prospective validation study

BD Wissel, HM Greiner, TA Glauser, JP Pestian… - Neurology, 2024 - AAN Enterprises
Background and Objectives Epilepsy surgery is often delayed. We previously developed
machine learning (ML) models to identify candidates for resective epilepsy surgery earlier in …

Emerging glyco-risk prediction model to forecast response to immune checkpoint inhibitors in colorectal cancer

P Qiu, X Chen, C Xiao, M Zhang, H Wang… - Journal of cancer …, 2023 - Springer
Background Aberrant glycosylation is one of the most common post-translational
modifications leading to heterogeneity in colorectal cancer (CRC). This study aims to …