AI could revolutionize hemorrhagic stroke care, new study hopes
NCT ID NCT07570680
First seen May 09, 2026 · Last updated May 09, 2026
Summary
This study aims to create a smart computer model using deep learning to help doctors more accurately diagnose and predict recovery in people with spontaneous hemorrhagic stroke (bleeding in the brain). Researchers will analyze CT scans and medical data from 7,100 patients aged 8 and older. The goal is to improve consistency in diagnosis and better forecast survival and disability outcomes at 90 and 180 days.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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The Second Affiliated Hospital of Nanchang University
RECRUITINGNanchang, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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