Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Arteries of the Lower Limbs

Arteries of the Lower Limbs

Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A systematic review and meta-analysis of school-based interventions for PTSD and trauma-related symptoms: what effective elements they have in common?

Child and adolescent mental health·2026

Same author

Large language model prompt engineering for medical education: A practical guide for the Australian and New Zealand College of Anaesthetists Final Examination.

Anaesthesia and intensive care·2026

Same author

Pre-implementation safety evaluation of an AI decision-support system for surgical antimicrobial prophylaxis.

Internal medicine journal·2026

Same author

Aortocoronary Versus Composite Grafting Strategies in Coronary Artery Bypass Surgery: a Network Meta-analysis.

The Canadian journal of cardiology·2026

Same author

Education Research: Quality of Narrative Feedback Generated by a Large Language Model Compared With Expert Faculty for Case-Based Learning in Neurology Education.

Neurology. Education·2026

Same author

Anticoagulation associated intracerebral haemorrhage trends, treatment and outcomes in a metropolitan cohort: analysed by availability of specific versus non-specific reversal agents.

BMJ neurology open·2026

Same journal

Tumor control and cranial nerve outcomes after Gamma Knife radiosurgery for Glomus jugulare tumors: a systematic review, meta-analysis, and institutional failure pattern analysis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2026

Same journal

Clinical utility of maximal and minimal intensity projections in T2-weighted MRI for neurosurgical planning.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2026

Same journal

Clinical and CT perfusion outcomes after direct STA-MCA bypass in moyamoya and non-moyamoya steno-occlusive disease: an Indonesian single-center cohort.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2026

Same journal

Effect of non-consecutive treatment during hypofractionated stereotactic radiosurgery (HF-SRS) for brain metastases.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2026

Same journal

Pre- and postoperative cranial shape analysis in Craniosynostosis: The role of mechanical loading during CT imaging.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2026

Same journal

Spontaneous Recanalization of Thrombus on Ultra-High field Strength MRI.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 26, 2025

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

Epilepsy surgery candidate identification with artificial intelligence: An implementation study.

Sheryn Tan¹, Rudy Goh², Alexander Wright³

¹University of Adelaide, Adelaide, SA 5005, Australia.

Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia

|February 23, 2025

Summary

This summary is machine-generated.

Artificial intelligence, including machine learning algorithms and large language models (LLMs), shows promise in identifying patients for epilepsy surgery evaluation and extracting relevant clinical information for referrals.

Keywords:

Large language model Machine learning Medically refractory epilepsy Natural language processing Neurosurgery

More Related Videos

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

$Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note$

Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note

Published on: June 13, 2016

Related Experiment Videos

Last Updated: May 26, 2025

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

$Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note$

Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note

Published on: June 13, 2016

Area of Science:

Neurology
Artificial Intelligence
Medical Informatics

Background:

Epilepsy surgery evaluation requires careful patient selection.
Identifying suitable candidates can be time-consuming.
AI tools may streamline this process.

Purpose of the Study:

To evaluate a machine learning algorithm for identifying epilepsy surgery evaluation candidates.
To assess a large language model's (LLM) performance in extracting key information for referrals.

Main Methods:

AI analyses applied to patients in an epilepsy clinic over 12 months.
A random forest model stratified patients by surgery candidacy likelihood.
Top 5% underwent manual review; an LLM extracted referral-relevant data from clinic notes.

Main Results:

53.3% of manually reviewed patients met criteria for epilepsy surgery evaluation.
20% were referred within one month.
LLM accuracy ranged from 80-100%, with most errors in management plan summarization.

Conclusions:

AI, including machine learning and LLMs, shows potential to aid in identifying patients for epilepsy surgery evaluation.
AI tools can assist in extracting critical information for surgical referrals.