AI model could spot hidden blood clot risk in ICU patients
NCT ID NCT07596264
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study used data from over 12,000 ICU patients to create a computer model that can predict which patients are at risk for venous thromboembolism (VTE) – dangerous blood clots. The model was designed to be easy for doctors to understand and use. The goal is to improve prevention and save lives in the ICU.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this model could help doctors identify ICU patients at high risk for blood clots, potentially preventing life-threatening events.
- What could go wrong
- This is a model development study, not a treatment trial. The model needs further testing in real-world settings before it can be widely used.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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
Locations
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Beijing Tsinghua Changgung Hospital
Beijing, Beijing Municipality, 102218, China
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