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.

NCT ID: NCT05959746

Last Updated: 2024-11-27

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

300 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-08-28

Study Completion Date

2024-12-31

Brief Summary

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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

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Conditions

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Stroke, Cerebrovascular

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Patients with suspected acute stroke

Group Type EXPERIMENTAL

AI-STROKE application

Intervention Type OTHER

Complete neurological exam of stroke patients will be filmed by healthcare workers and themselves using the AI-STROKE application

Interventions

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AI-STROKE application

Complete neurological exam of stroke patients will be filmed by healthcare workers and themselves using the AI-STROKE application

Intervention Type OTHER

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Société par Action Simplifiée AI-Stroke

UNKNOWN

Sponsor Role collaborator

Centre Hospitalier Universitaire de Nīmes

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Anne WACONGNE

Role: PRINCIPAL_INVESTIGATOR

CHU de Nimes

Locations

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Centre Hospitalier Universitaire

Nîmes, Gard, France

Site Status RECRUITING

Countries

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France

Central Contacts

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Anne WACONGNE

Role: CONTACT

04.66.68.32.51

Facility Contacts

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Anissa MEGZARI

Role: primary

04 66 68 30 52

Eric THOUVENOT, Pr.

Role: backup

Anne Wacongne, M.

Role: backup

Dimitri Renard

Role: backup

Teodora PARVU

Role: backup

Marc Hackius

Role: backup

Other Identifiers

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CIVI/2022/ET-01

Identifier Type: -

Identifier Source: org_study_id