Accelerating Referral for Thrombectomy in Acute Stroke Patients Using an Artificial Intelligence-based Software

Recruiting now

Conditions studied: Stroke, Stroke Acute, Ischemic Stroke, Acute, Thrombectomy

In brief

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 facts

Study ID
NCT06741332
Run by
Hospital Universitari Vall d'Hebron Research Institute
People needed
250
Starts
2024-01-27
Expected to finish
2026-03-01
Last updated by the study team
2024-12-18

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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