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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.

Not Applicable
Recruiting
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
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.

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Primary Outcome Measures
NameTimeMethod
Usable video recording made by the patientDay 0

Recording using AI-STROKE application

Usable video recording made by the hospital workerDay 0

Recording using AI-STROKE application

Secondary Outcome Measures
NameTimeMethod
Acceptability of self-recording by patientsMonth 3

Patient accepting to self-record: Yes/no

Patient-reported ease of self-recordingMonth 3

Visual numerical scale 0-10

Feasibility of patient self-recordingMonth 3

Patient able to record without assistance: yes/no

Degree of disability following strokeMonth 3

mRS (modified Rankin Scale) score, range 0 (no symptoms) to 5 (severe handicap) administered by the neurologist

Usable video recording made by the patientMonth 3

Recording using AI-STROKE application

Usable video recording made by the hospital workerMonth 3

Recording using AI-STROKE application

Stroke severityMonth 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, France
Anissa MEGZARI
Contact
04 66 68 30 52
anissa.megzari@CHU-nimes.fr
Eric THOUVENOT, Pr.
Contact
Anne Wacongne, M.
Contact
Dimitri Renard
Contact
Teodora PARVU
Contact
Marc Hackius
Contact

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