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.
Recruiting
N/AInterventional Study
Stroke, Cerebrovascular
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
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Review the details below, then apply to join this clinical trial.
At a Glance
Age
18 and older
Sex
Any
Study type
Interventional
Purpose
Diagnostic
Participants needed
300 (estimated)
Sponsor
Centre Hospitalier Universitaire de Nīmes · Other
Who this trial is looking for
This trial is looking for patients who might have had a stroke or a related event. Participants will take part in a test that involves doing some simple exercises while being recorded on video to help improve stroke diagnosis with the help of an app.
Are You a Good Fit for This Trial?
You may be able to join if
I have suspected stroke or transient ischemic attack.
I am within 72 hours of my symptoms starting.
I will see a doctor again within 4 months.
I can give my consent to participate or my trusted person can give it for me.
I am covered by a health insurance plan.
You may not be able to join if
I do not speak or read French.
I am currently involved in another study that prevents me from participating.
I am under legal protection or guardianship.
I am pregnant, have just given birth, or am breastfeeding.
Summarized in plain language from this trial's official eligibility criteria.
The full criteria are further down this page — only the research team can
confirm whether you qualify.
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
The study authors aim to form a collection of video-clinical data in a pragmatic situation to enable the development of relevant AI algorithms (for both hetero- and self-diagnosis modes). The aim is to optimize management through early diagnosis (self- and hetero-diagnosis) and thus to reduce sequelae disability.
The study authors hypothesize that some stroke patients will be able to successfully…
The study authors aim to form a collection of video-clinical data in a pragmatic situation to enable the development of relevant AI algorithms (for both hetero- and self-diagnosis modes). The aim is to optimize management through early diagnosis (self- and hetero-diagnosis) and thus to reduce sequelae disability.
The study authors hypothesize that some stroke patients will be able to successfully perform a self-test consisting of a few exercises dictated by an application on a smartphone or tablet and recorded on video.
Trial Locations
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Eligibility 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 giv…
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.
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