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

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorHospital Universitari Vall d'Hebron Research Institute

About this trial

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.

Eligibility criteria

Qualifiers

Suspected acute stroke patients

>18 years with no upper age limit

Included < 24 h since last seen well

Non-contrast CT is available at the local stroke center

Disqualifiers

Patients in a coma (NIHSS item of consciousness >1)

Patients with unstable clinical status who require emergent life support care

Subject imaging does not meet Image Acquisition and DICOM Tag Requirements

Trial design

Treatments tested in this trial

  • Methinks software
  • Normal CT scans evaluation

Treatment groups

250 Participants
are divided into 2 treatment groups

Sponsors and collaborators