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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.
Sponsor: Centre Hospitalier Universitaire de Nīmes
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
Conditions
Interventions
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