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AI learns to detect stroke risk in real time
NCT ID NCT03919370
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study used artificial intelligence to learn the patterns of reduced blood flow to the brain during planned surgeries. 60 patients having carotid artery surgery or stroke clot removal were monitored with non-invasive devices. The goal was to teach AI to recognize these patterns, which could lead to faster detection of brain ischemia in the future.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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60 people
The number who actually took part.
- Started
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Oct 2020
- Finished
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Dec 2024
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
See above
- Ages
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18 to 100 years
- Sex
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Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Patients planned for carotid surgery or trombectomy * Giving informed consent to participate Exclusion Criteria: * Patients that do not consent Patients with arrythmia or pacemaker
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Sahlgrenska University hospital
Gothenburg, Sweden, 41345, Sweden
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