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.
- Conditions
- Stroke, Cerebrovascular
- Registration Number
- NCT05959746
- Lead Sponsor
- Centre Hospitalier Universitaire de Nīmes
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 300
- 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
- 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.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Primary Outcome Measures
Name Time Method Usable video recording made by the patient Day 0 Recording using AI-STROKE application
Usable video recording made by the hospital worker Day 0 Recording using AI-STROKE application
- Secondary Outcome Measures
Name Time Method Acceptability of self-recording by patients Month 3 Patient accepting to self-record: Yes/no
Patient-reported ease of self-recording Month 3 Visual numerical scale 0-10
Feasibility of patient self-recording Month 3 Patient able to record without assistance: yes/no
Degree of disability following stroke Month 3 mRS (modified Rankin Scale) score, range 0 (no symptoms) to 5 (severe handicap) administered by the neurologist
Usable video recording made by the patient Month 3 Recording using AI-STROKE application
Usable video recording made by the hospital worker Month 3 Recording using AI-STROKE application
Stroke severity Month 3 NIHSS (National Institute of Health Stroke Scale) score assessed by neurologist
Trial Locations
- Locations (1)
Centre Hospitalier Universitaire
🇫🇷Nîmes, Gard, France
Centre Hospitalier Universitaire🇫🇷Nîmes, Gard, FranceAnissa MEGZARIContact04 66 68 30 52anissa.megzari@CHU-nimes.frEric THOUVENOT, Pr.ContactAnne Wacongne, M.ContactDimitri RenardContactTeodora PARVUContactMarc HackiusContact