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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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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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
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Locations
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Sahlgrenska University hospital
Gothenburg, Sweden, 41345, Sweden