Using AI and EEG to identify stroke patients in ambulances
Algorithm Development Through Artificial Intelligence for the Triage of Stroke Patients in the Ambulance With Electroencephalography
This study is testing a new AI tool that uses brain wave readings to quickly spot stroke patients in ambulances so they can get life-saving treatment faster.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 1192 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA) Academic / other |
| Locations | 1 site (Amsterdam, North Holland) |
| Trial ID | NCT05437237 on ClinicalTrials.gov |
What this trial studies
This study aims to develop an AI-based algorithm that utilizes electroencephalography (EEG) to triage stroke patients in ambulances. By quickly identifying large vessel occlusion (LVO) strokes, the algorithm seeks to reduce the time it takes for patients to receive critical endovascular thrombectomy (EVT) treatment. The EEG will be performed using a dry electrode cap, allowing paramedics to obtain readings in under five minutes. The goal is to improve patient outcomes by ensuring timely transport to EVT-capable hospitals.
Who should consider this trial
Good fit: Ideal candidates include adults aged 18 and older who are suspected of having an acute ischemic stroke or have a known LVO stroke.
Not a fit: Patients with scalp infections or skin defects in the area of electrode placement, as well as those with suspected COVID-19, may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly reduce treatment delays for stroke patients, leading to better clinical outcomes.
How similar studies have performed: While the use of EEG for stroke triage is innovative, similar studies have not been widely conducted, making this approach relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Suspected AIS, as assessed by the attending ambulance paramedic, or a known LVO stroke; * Onset of symptoms or last seen well \< 24 hours before EEG acquisition; * Age of 18 years or older; * Written informed consent by patient or legal representative (deferred). Exclusion Criteria: * Skin defect or active infection of the scalp in the area of the electrode cap placement; * (Suspected) COVID-19 infection.
Where this trial is running
Amsterdam, North Holland
- Amsterdam University Medical Centers, location AMC — Amsterdam, North Holland, Netherlands (Recruiting)
Study contacts
- Principal investigator: Jonathan M Coutinho, MD, PhD — Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
- Study coordinator: Maritta N van Stigt, MSc
- Email: m.n.vanstigt@amterdamumc.nl
- Phone: 0031 20 566 8417
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.