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

Brief summary (registry, in English)

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.

What you commit to

• Study type: Observational
• Planned participants: 250
• From Jan 2024 to the primary completion date, Jan 2026
• 2 sites in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 18 years to - · Sex: All · Accepts healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (2)

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