Using AI to speed up transfers for stroke patients needing thrombectomy
Official title: Accelerating Referral for Thrombectomy in Acute Stroke Patients Using an Artificial Intelligence-based Software
Run by Hospital Universitari Vall d'Hebron Research Institute · NCT06741332 · Data updated 2026-11-12
This study tests if using an AI tool can help speed up the transfer of stroke patients to hospitals that can provide a special treatment called thrombectomy.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 250 (estimated) |
| Sponsor | Hospital Universitari Vall d'Hebron Research Institute Academic / other |
| Locations | 2 sites (Granollers, Barcelona and 1 other locations) |
| Status | Recruiting |
| Started | January 27, 2024 |
| Main results expected | January 2026 |
| Study ends | March 2026 |
| Registry record updated | December 18, 2024 |
| Trial ID | NCT06741332 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults over 18 years old who are suspected of having an acute stroke and can be evaluated within 24 hours of their last known well time.
✕Probably not a fit
Patients in a coma or those requiring immediate life support care may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This clinical trial evaluates the effectiveness of the Methinks Stroke Suite, an artificial intelligence-based imaging software, in reducing the time it takes to transfer acute stroke patients from local centers to specialized thrombectomy-capable hospitals. The study focuses on patients who are initially assessed at local stroke centers that cannot perform endovascular therapy. Researchers will compare the AI-assisted workflow to historical data to determine if it improves decision-making and treatment times for patients requiring thrombectomy. The trial also aims to assess the accuracy of the AI in identifying candidates for endovascular therapy and monitor overall workflow efficiency.
Why it matters
Potential benefit: If successful, this approach could significantly reduce the time to treatment for stroke patients, potentially improving outcomes and recovery rates.
How similar studies have gone: While the use of AI in medical imaging is gaining traction, this specific application for stroke transfer decisions is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Suspected acute stroke patients 2. \>18 years with no upper age limit 3. Included \< 24 h since last seen well 4. Non-contrast CT is available at the local stroke center 5. Image has been processed by Methinks Stroke Suite 6. Informed consent obtained from a patient or his or her legally designated representative (if locally required). Exclusion Criteria: 1. Patients in a coma (NIHSS item of consciousness \>1) 2. Patients with unstable clinical status who require emergent life support care 3. Subject imaging does not meet Image Acquisition and DICOM Tag Requirements
Where it's running
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Hospital General de Manresa Granollers
Granollers, Barcelona, Spain Recruiting -
Hospital Vall Hebron
Barcelona, Spain Recruiting
Study contacts
- Study coordinator: Marta Olivé
- Email: marta.olive@vallhebron.cat
- Phone: 34 93 489 30 00
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.