Recruiting

AI in Epilepsy

Sponsor:

Istituto Giannina Gaslini

Code:

NCT07881185

Conditions

Epilepsies

Eligibility Criteria

Sex: All

Age: 0+

Healthy Volunteers: Not accepted

Study Details

Brief summary:

This study will test computer programs that help doctors read brain MRI scans. The programs use artificial intelligence (AI). The study includes people with epilepsy, a condition that causes repeated seizures.

Brain changes linked to epilepsy can be hard to see on an MRI (magnetic resonance imaging) scan. Different doctors may read the same scan in different ways. The researchers want to build AI tools that help doctors find these changes earlier. Earlier findings could lead to a faster diagnosis. They could also help doctors decide if a genetic test or a brain surgery evaluation is right for a patient.

The researchers also want to learn if AI can predict how well epilepsy surgery will work. If it can, surgeons could use the tool to plan an operation. The goal is to stop seizures while protecting parts of the brain that control speech and sight.

Who can take part? People with epilepsy who are treated at the Gaslini Institute or another study center Adults who give their own written consent Children whose parent or caregiver gives written consent People who do not agree to take part cannot be included.

What will happen? The researchers will collect brain MRI scans from about 2,000 people. The scans come from regular clinical care.

The researchers will replace each person's name on the scan with a code number. The coded scans go to a secure online portal. Study centers around the world share this portal.

One trained researcher will run the AI programs on the scans. The researchers will keep the scans for 2 years to build an image library. The researchers will compare the scans with health information. They want to find signs in the scans that show how epilepsy may change over time.

This study does not test a new medicine or treatment. It will last about 2 years.

Conditions

Epilepsies

Study ID

NCT07881185

Start date

May 30, 2023

Status verified date

Oct, 2026

Completion date

Dec 31, 2026

Anticipated

Primary completion date

Dec 31, 2026

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 0+

Healthy Volunteers: Not accepted

Inclusion Criteria:

\- Informed consent signed

Exclusion Criteria:

\- Informed consent not signed

Study Design

Enrollment

2000 participants

Anticipated

Interventions and Outcome Measures

Arms

People with epilepsy

Primary outcome measure

  • Create a large database of brain MRI scans from patients with epilepsy of various etiologies, referred to multiple highly specialized centers worldwide [ Time Frame: Up to 24 months ]
  • Develop artificial intelligence (AI) algorithms that facilitate the detection of lesions on neuroimaging acquired during routine clinical practice [ Time Frame: Up to 24 months ]

Central Contacts and Locations

Central contacts

Pasquale Striano, MD

+39 010 5636 2912pasqualestriano@gaslini.org

Locations

University of California

Recruiting

Oakland, California, United States, 94607

George Washington University

Recruiting

Washington D.C., District of Columbia, United States, 20052

Rush Hospital

Recruiting

Chicago, Illinois, United States, 60612

National Institute of Health (NINDS-Intramural)

Recruiting

Bethesda, Maryland, United States, 20892

University of Pennsylvania

Recruiting

Philadelphia, Pennsylvania, United States, 19104

Medical University of South Carolina

Recruiting

Charleston, South Carolina, United States, 29425

Multimodal Imaging and Connectome Analysis Laboratory (Montreal Neurological Institute and Hospital, McGill University)

Recruiting

Montreal, Canada, H3A2B4

More Information

Sponsor

Istituto Giannina Gaslini

Last update posted

Oct 19, 2026

Last verified

Oct, 2026

Trial information was received from ClinicalTrials.gov and was last updated on 2026-10-20. This information was provided to ClinicalTrials.gov by Istituto Giannina Gaslini on 2026-10-19. Recruitment status is synced daily from ClinicalTrials.gov and may not reflect the sponsor's current status. Confirm during your call.