New AI model could spot depression risk after stroke
NCT ID NCT07294274
First seen Jan 03, 2026 · Last updated Apr 30, 2026 · Updated 22 times
Summary
This study aims to create a tool that uses machine learning to predict which patients may develop depression after an ischemic stroke. Researchers will collect data from 488 participants and build a risk model to help doctors identify high-risk individuals early. The goal is to improve recovery and quality of life by catching post-stroke depression sooner.
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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: •••••@•••••
Locations
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The First Affiliated Hospital of Chongqing Medical University
RECRUITINGChongqing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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