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

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.

NCT Number	NCT06741332
Lead Sponsor	Hospital Universitari Vall d'Hebron Research Institute Collaborators: Methinks Software SL
Conditions	Stroke, Stroke Acute, Ischemic Stroke, Acute, Thrombectomy
Enrollment	250 participants
Start Date	2024-01-27
Primary Completion	2026-01 (estimated)
Study Completion	2026-03 (estimated)
Updated on ClinicalTrials.gov	2024-12-18