NCT05959746

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.

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 300 (estimated)
• Sponsor: Centre Hospitalier Universitaire de Nīmes · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Stroke, Cerebrovascular

Interventions

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

Timeline

• Start date: 2023-08-28
• Primary completion: 2024-12-01
• Completion: 2024-12-01
• First posted: 2023-07-25
• Last updated: 2024-11-27

Locations

1 site across 1 country: France