Actively Recruiting
Algorithm Development Through AI for the Triage of Stroke Patients in the Ambulance With EEG
Led by Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA) · Updated on 2022-06-29
1192
Participants Needed
1
Research Sites
206 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Endovascular thrombectomy (EVT) enormously improves the prognosis of patients with large vessel occlusion (LVO) stroke, but its effect is highly time-dependent. Direct presentation of patients with an LVO stroke to an EVT-capable hospital reduces onset-to-treatment time by 40-115 minutes and thereby improves clinical outcome. Electroencephalography (EEG) may be a suitable prehospital stroke triage instrument for identifying LVO stroke, as differences have been found between EEG recordings of patients with an LVO stroke and those of suspected acute ischemic stroke patients with a smaller or no vessel occlusion. The investigators expect EEG can be performed in less than five minutes in the prehospital setting using a dry electrode EEG cap. An automatic LVO-detection algorithm will be the key to reliable, simple and fast interpretation of EEG recordings by ambulance paramedics. The primary objective of this study is to develop one or more novel AI-based algorithms (the AI-STROKE algorithms) with optimal diagnostic accuracy for identification of LVO stroke in patients with a suspected acute ischemic stroke in the prehospital setting, based on ambulant EEG data.
CONDITIONS
Official Title
Algorithm Development Through AI for the Triage of Stroke Patients in the Ambulance With EEG
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Suspected acute ischemic stroke or known large vessel occlusion stroke as assessed by ambulance paramedic
- Symptoms started or last seen well less than 24 hours before EEG acquisition
- Age 18 years or older
- Written informed consent by patient or legal representative (deferred)
You will not qualify if you...
- Skin defect or active infection on the scalp where the EEG cap is placed
- Suspected or confirmed COVID-19 infection
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Amsterdam University Medical Centers, location AMC
Amsterdam, North Holland, Netherlands, 1105AZ
Actively Recruiting
Research Team
M
Maritta N van Stigt, MSc
CONTACT
J
Jonathan M Coutinho, MD, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
DIAGNOSTIC
Number of Arms
1
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