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RECRUITING
NCT05959746
NA

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.

Sponsor: Centre Hospitalier Universitaire de Nīmes

View on ClinicalTrials.gov

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.

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

INTERVENTIONAL

Enrollment

300

Start Date

2023-08-28

Completion Date

2024-12

Last Updated

2024-11-27

Healthy Volunteers

No

Interventions

OTHER

AI-STROKE application

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

Locations (1)

Centre Hospitalier Universitaire

Nîmes, Gard, France