Can AI predict dangerous complications after aortic dissection repair?
NCT ID NCT07745309
First seen Aug 04, 2026 · Last updated Aug 05, 2026 · Updated 1 time
Summary
This study aims to create a large national registry of patients with type B aortic dissection, a serious condition where the aorta tears. By collecting data from about 60 hospitals across China, researchers will build a digital platform to standardize care and track long-term outcomes. Using artificial intelligence, they hope to develop a risk prediction model that can warn doctors about potential complications like stroke, kidney failure, or aortic rupture. The goal is to improve the quality of care and reduce death rates by identifying high-risk patients earlier.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Routine endovascular repair (TEVAR) as standard care
- What this could lead to
- If successful, this could lead to an AI-driven early warning system that helps doctors identify high-risk patients sooner, potentially reducing complications and deaths from type B aortic dissection.
- What could go wrong
- This is an observational study, so it cannot prove that any specific treatment works. The risk prediction model may not be accurate across all hospitals, and the large scale may introduce data quality issues.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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