AI model spots hidden clot risk in ICU patients
NCT ID NCT07596264
First seen May 30, 2026 · Last updated Jun 18, 2026 · Updated 5 times
Summary
This study aimed to create a computer model that can predict which intensive care unit (ICU) patients are at risk for dangerous blood clots (venous thromboembolism). Researchers analyzed data from over 12,000 adult ICU patients to build and test the model. The goal is to help doctors identify high-risk patients earlier and prevent clots.
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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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Contacts and locations
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Locations
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Beijing Tsinghua Changgung Hospital
Beijing, Beijing Municipality, 102218, China
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
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