AI tools to read brain MRIs in epilepsy
Official title: Implementazione di Algoritmi di Intelligenza Artificiale Nello Studio Delle RMN Cerebrali di Pazienti Con Epilessia / Implementation of Artificial Intelligence Algorithms for the Analysis of Brain MRI Scans in Patients With Epilepsy
Run by Istituto Giannina Gaslini · NCT07881185 · Data updated 2026-11-12
Researchers are testing AI programs to help doctors read brain MRI scans in people with epilepsy to see if they can speed up diagnosis and help plan treatments.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 2000 (estimated) |
| Sponsor | Istituto Giannina Gaslini Academic / other |
| Locations | 23 sites (Oakland, California and 22 other locations) |
| Status | Recruiting |
| Started | May 30, 2023 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | October 19, 2026 |
| Trial ID | NCT07881185 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults with epilepsy who give informed consent and are receiving care at Gaslini Institute or participating centers.
✕Probably not a fit
Patients whose MRIs do not reveal actionable findings or whose care paths are unchanged by AI analysis may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study evaluates computer-based AI tools designed to assist clinicians in interpreting brain MRI images for epilepsy. The goal is to identify brain changes more consistently across readers and determine whether AI can support decisions about genetic testing or surgical evaluation. Researchers also explore whether AI can predict how well epilepsy surgery might work, aiding surgeons in planning while protecting critical brain functions. The study will enroll adults with epilepsy treated at participating centers, as they provide consent and undergo imaging evaluations. No interventions are being tested beyond the use of AI-based analysis tools on standard MRI data.
Why it matters
Potential benefit: If successful, AI-assisted MRI analysis could lead to faster, more consistent diagnoses and better-informed treatment decisions for epilepsy patients.
How similar studies have gone: Previous work with AI in medical imaging has shown promise but results vary by setting and task; this study contributes in a multi-center epilepsy context.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: \- Informed consent signed Exclusion Criteria: \- Informed consent not signed
Where it's running
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University of California
Oakland, California, United States Recruiting -
George Washington University
Washington D.C., District of Columbia, United States Recruiting -
Rush Hospital
Chicago, Illinois, United States Recruiting -
National Institute of Health (NINDS-Intramural)
Bethesda, Maryland, United States Recruiting -
University of Pennsylvania
Philadelphia, Pennsylvania, United States Recruiting -
Medical University of South Carolina
Charleston, South Carolina, United States Recruiting
Show 17 more locations
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The Florey Institute of Neuroscience and Mental Health
Melbourne, Australia Recruiting -
Université Libre de Bruxelles
Brussels, Belgium Recruiting -
University of Campinas
Campinas, Brazil Recruiting -
Multimodal Imaging and Connectome Analysis Laboratory (Montreal Neurological Institute and Hospital, McGill University)
Montreal, Canada Recruiting -
Nanjing University
Nanjing, China Recruiting -
University Hospital Bonn
Bonn, Germany Recruiting -
University of Cagliari
Cagliari, Italy Recruiting -
University of Catanzaro
Catanzaro, Italy Recruiting -
Istituto di Tecnologie Avanzate Biomediche, University D'Annunzio
Chieti, Italy Recruiting -
IRCCS Istituto Giannina Gaslini
Genova, Italy Recruiting -
University of Messina
Messina, Italy Recruiting -
University of Modena and Reggio Emilia
Modena, Italy Recruiting -
Autonomous University of Mexico
Mexico City, Mexico Recruiting -
University of Cape Town
Cape Town, South Africa Recruiting -
Institut d'Investigacions Biomèdiques August Pi i Sunyer
Barcelona, Spain Recruiting -
University Hospital Zurich
Zurich, Switzerland Recruiting -
University College of London
London, United Kingdom Recruiting
Study contacts
- Study coordinator: Pasquale Striano, MD
- Email: pasqualestriano@gaslini.org
- Phone: +39 010 5636 2912
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Other studies for the same condition or treatment. Recruiting studies are listed first.
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-
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.