Clinical trialNCT06705439CompletedObservational

A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning (USF)

SponsorNeuro Event Labs Inc.Enrollment33Epilepsy

View the registry record on ClinicalTrials.gov

Summary

The lay summary the sponsor registered on ClinicalTrials.gov.

Increased computational power has made it possible to implement complex image recognition tasks and machine learning to be implemented in every day usage. The computer vision and machine learning based solution used in this project (Nelli) is an automatic seizure detection and reporting method that has a CE mark for this specific use. The present study will provide data to expand the utility and detection capability of NELLI and enhance the accuracy and clinical utility of automated computer vision and machine learning based seizure detection.

clinicaltrials.gov ↗

Investigators

The overall officials registered on this study. Names that resolve to a findmyKOL profile link to it; the rest are shown as registered.

Selim Benbadis, MD
University of South Florida
Principal InvestigatorKOL profile →
clinicaltrials.gov ↗

A profile link is shown only when the registered name resolves to a person record with a confident, namesake-checked match; ambiguous names stay unlinked.

Sites

1 registered facility, with the per-site recruitment status where the registry publishes one. ClinicalTrials.gov does not publish per-site enrollment counts.

United States

Tampa General Hospital
Tampa, Florida, United States

Site investigator names are published by ClinicalTrials.gov only while a study recruits, so completed studies list sites without them.

Drugs studied

No drug or biological interventions are in our data for this study. It may test a procedure, device or behavioral intervention, or the intervention list isn't in our current snapshot. See the registry record ↗. Why? →

Registration & key dates

Registry attributes as recorded on the ClinicalTrials.gov study record.

Start: 15 Nov 2024
Primary completion: 31 Dec 2025
Completion: 31 Jan 2026
Last update posted: 13 Feb 2026
Registered enrollment: 33
Registry id: NCT06705439

clinicaltrials.gov ↗

Source: ClinicalTrials.gov, via the CTTI AACT database, data as of 24 Aug 2026. Registry facts are shown as registered by the study sponsor; findmyKOL does not interpret them.