Artificial Intelligence for Brain MRI Analysis in Epilepsy
Public ClinicalTrials.gov record NCT07881185. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
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
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
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.
Study identification
- NCT ID
- NCT07881185
- Recruitment status
- Recruiting
- Study type
- Observational
- Phase
- Not listed
- Enrollment
- 2,000 participants
Conditions and interventions
Conditions
Interventions
Not listed
Eligibility (public fields only)
- Age range
- Not listed
- Sex
- All
- Healthy volunteers
- Healthy volunteers not accepted
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- May 30, 2023 (Actual)
- Primary completion
- Dec 31, 2026 (Estimated)
- Completion
- Dec 31, 2026 (Estimated)
- Last update posted
- Oct 19, 2026
2023 – 2026
United States locations
- U.S. sites
- 6
- U.S. states
- 6
- U.S. cities
- 6
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| University of California | Oakland | California | 94607 | Recruiting |
| George Washington University | Washington D.C. | District of Columbia | 20052 | Recruiting |
| Rush Hospital | Chicago | Illinois | 60612 | Recruiting |
| National Institute of Health (NINDS-Intramural) | Bethesda | Maryland | 20892 | Recruiting |
| University of Pennsylvania | Philadelphia | Pennsylvania | 19104 | Recruiting |
| Medical University of South Carolina | Charleston | South Carolina | 29425 | Recruiting |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
Non-U.S. locations
This page focuses on the U.S. directory. The official record also lists 17 non-U.S. sites.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT07881185, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Oct 19, 2026 · Synced Oct 21, 2026
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Open the official record
The complete public registry record, listed eligibility criteria, and available contact information for NCT07881185 live on ClinicalTrials.gov.