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Accelerating Referral for Thrombectomy in Acute Stroke Patients Using an Artificial Intelligence-based Software
Sponsor: Hospital Universitari Vall d'Hebron Research Institute
Summary
The goal of this clinical trial is to learn if an AI-based imaging software, Methinks Stroke Suite, can reduce the time to transfer stroke patients who need thrombectomy from local stroke centers to specialized centers. The study focuses on acute stroke patients who are initially evaluated at local stroke centers that cannot perform endovascular therapy (EVT). The main questions it aims to answer are: * Does Methinks Stroke Suite reduce the time it takes to decide if a patient needs to be transferred for thrombectomy? * How accurate is the AI software in identifying patients who are candidates for EVT? Researchers will compare the AI-based workflow to a historical cohort to see if the Methinks Stroke Suite improves transfer decisions and treatment times. Participants will: * Undergo a CT scan at the local stroke center, which will be analyzed by Methinks Stroke Suite. * Be transferred to a thrombectomy-capable center if the AI + clinical judgment identifies them as potential EVT candidates. * Be followed for 90 days after their stroke to assess recovery outcomes.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
250
Start Date
2024-01-27
Completion Date
2026-03
Last Updated
2024-12-18
Healthy Volunteers
Yes
Interventions
Methinks software
Introduction in the stroke code workflow the Methinks AI software capable of detecting LVO on NCCT and CTA, and ICH on NCCT.
Normal CT scans evaluation
The control group is obtained from a historical cohort at each participating center. We include consecutive suspected acute stroke patients who meet the same inclusion/exclusion criteria defined above, except for Methinks image processing.
Locations (2)
Hospital General de Manresa Granollers
Granollers, Barcelona, Spain
Hospital Vall Hebron
Barcelona, Spain