Improving stroke diagnostics with artificial intelligence
Official title: Optimizing Acute Ischemic Stroke Diagnostics Using Artificial Intelligence
Run by Oslo University Hospital · NCT05652933 · Data updated 2026-05-14
This study is no longer in our active list. It may have stopped recruiting or finished. The details below are as of 2026-05-14 and are kept for reference. Check ClinicalTrials.gov for its current status, or see similar studies below.
This study is testing if using artificial intelligence to analyze brain scans can help doctors find blockages in blood vessels faster and improve treatment for people having a stroke.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 300 (estimated) |
| Sponsor | Oslo University Hospital Academic / other |
| Locations | 3 sites (Drammen and 2 other locations) |
| Trial ID | NCT05652933 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include patients diagnosed with ischemic stroke of any severity who can provide informed consent.
✕Probably not a fit
Patients who are not available for follow-up assessments or cannot provide informed consent will 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 observational study aims to enhance the care pathway for acute ischemic stroke patients by utilizing advanced artificial intelligence techniques for imaging analysis. It will compare the effectiveness of machine learning-based imaging methods against standard care in detecting vessel occlusions and ischemic lesions. The study will involve multiple centers and will assess the diagnostic accuracy of multiphase CT angiography in identifying eligible patients for thrombectomy. The goal is to ensure that more patients receive timely and appropriate treatment for acute strokes.
Why it matters
Potential benefit: If successful, this approach could significantly increase the number of stroke patients receiving timely thrombectomy, improving outcomes and reducing disability.
How similar studies have gone: Other studies have shown promise in using AI for medical imaging, suggesting potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with ischemic stroke. * All stroke severities and vascular distributions are eligible. * Informed written consent signed by the patient, verbal consent from the patient as witnessed by a non-participating health care person or consent by the signature of the patient's family must be provided before inclusion. Patients for whom no informed consent can be obtained will not be included in the study but will be treated according to standard guidelines. Exclusion Criteria: • Patients not available for follow-up assessments (e.g. non-resident).
Where it's running
-
Vestre Viken Hospital Trust
Drammen, Norway Recruiting -
Oslo University Hospital
Oslo, Norway Recruiting -
Østfold Hospital Trust
Sarpsborg, Norway Recruiting
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Music therapy after stroke
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Endovascular therapy plus standard care vs standard care alone for distal and medium vessel strokes
In people with acute ischemic stroke due to distal or medium vessel blockages, this study tests whether adding endovascular treatment to the usual medical care helps improve outcomes compared with medical care alone.
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Immersive Virtual Reality in Upper-Limb Rehabilitation After Stroke
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Anakinra After Endovascular Therapy for Ischemic Stroke
This trial tests whether giving two doses of Anakinra after successful endovascular treatment can reduce brain damage and improve outcomes in adults with acute ischemic stroke.
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.