AI that spots seizures on video shows promise in small study
NCT ID NCT06705439
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested a computer system called Nelli that uses video cameras and machine learning to automatically detect seizures. Researchers compared Nelli's detection to the standard method (video-EEG) in 33 epilepsy patients. The goal was to see how accurately the AI could spot seizures with visible movement, which could make monitoring easier and faster.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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33 people
The number who actually took part.
- Started
-
Nov 2024
- Finished
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Jan 2026
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients with suspected motor seizures that are undergoing video-EEG monitoring for routine clinical care.
- Ages
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18 to 99 years
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * All patients undergoing video-EEG monitoring for clinical purposes who are suspected of having seizures. Exclusion Criteria: \-
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Tampa General Hospital
Tampa, Florida, 33606, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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