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.
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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
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Sahlgrenska University hospital
Gothenburg, Sweden, 41345, Sweden
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