Developing an AI tool for diagnosing stroke through video data collection
Clinical Development of a Tool for Optimized Self- and Hetero-diagnosis of Stroke Using Artificial Intelligence: Stage1- Collection of Video-clinical Data in a Pragmatic Situation.
NA · Centre Hospitalier Universitaire de Nīmes · NCT05959746
This study is testing a new AI tool that uses video recordings of patients suspected of having a stroke to see if it can help with faster and better diagnosis.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 300 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Centre Hospitalier Universitaire de Nīmes (other) |
| Locations | 1 site (Nîmes, Gard) |
| Trial ID | NCT05959746 on ClinicalTrials.gov |
What this trial studies
This study aims to collect video-clinical data from patients suspected of having a stroke or transient ischemic attack in a pragmatic setting. The goal is to develop artificial intelligence algorithms that can assist in both self-diagnosis and hetero-diagnosis of stroke. Patients will perform a series of exercises dictated by a smartphone application, which will be recorded on video to optimize early diagnosis and management of stroke. The study focuses on patients treated in the emergency department or hospitalized for suspected stroke within 72 hours.
Who should consider this trial
Good fit: Ideal candidates include patients treated for suspected stroke or transient ischemic attack within 72 hours at the CHU de Nîmes.
Not a fit: Patients who do not speak or read French or are under legal protection may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to faster and more accurate stroke diagnoses, potentially reducing long-term disability.
How similar studies have performed: While the use of AI in medical diagnostics is gaining traction, this specific approach of using video data for stroke diagnosis is relatively novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients treated in the emergency department or hospitalized in the NICU at the CHU de Nîmes for suspected stroke or transient ischemic attack in the acute phase (\<72h), with or without motor deficit * Patient to be seen again in consultation within 4 months * Patient has given free and informed consent and signed the consent form. If the patient is not in a position to give consent, it must be obtained, prior to filming the first video, from the designated trusted support person or relatives present. In this case, data will not be used until the patient is able to sign the consent (CNIL). * Patient affiliated or beneficiary of a health insurance scheme Exclusion Criteria: * Patients who do not speak or read French. * Patient in a period of exclusion determined by another study. * Patient under court protection, guardianship or curatorship. * Pregnant, parturient or breast-feeding patients.
Where this trial is running
Nîmes, Gard
- Centre Hospitalier Universitaire — Nîmes, Gard, France (RECRUITING)
Study contacts
- Principal investigator: Anne WACONGNE — CHU de Nimes
- Study coordinator: Anne WACONGNE
- Email: anne.wacongne@chu-nimes.fr
- Phone: 04.66.68.32.51
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Stroke, Cerebrovascular, Artificial Intelligence, Data bank, Video recording