AI aims to uncover hidden barriers to stroke care
NCT ID NCT07257146
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study looks at 250 stroke patients to understand why some arrive late at the hospital. Researchers use a questionnaire, mapping tools, and brain scans to find social, transport, and knowledge barriers. A machine learning model will try to predict who is at risk for delay, with the goal of improving emergency stroke care.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Targeted Stroke Systems of Care Training (SABI-Guided)
What this could lead to
If successful, this could help hospitals identify and reduce barriers that delay stroke patients from getting timely treatment, potentially saving lives.
What could go wrong
This is an observational study with historical controls, so results may not prove cause and effect. The machine learning model may not work well in other regions or populations.
Disclaimer
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This is a summary of
the original study
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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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Alexandria Stroke and Neurointervention Center
Alexandria, Egypt