AI predicts kidney danger after surgery: 10,000 patients enrolled
NCT ID NCT07030166
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is building a computer model to predict acute kidney injury in adults after non-cardiac surgery. Researchers will use data from 10,000 patients, including a measure of frailty, to see if the model can accurately identify those at risk. The goal is to create a tool that helps doctors prevent kidney damage, but this is an early research step, not a treatment.
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 could lead to a tool that helps doctors identify patients at high risk for kidney injury after surgery, allowing for earlier monitoring and prevention.
- What could go wrong
- This is an observational study, not a treatment trial. The prediction model may not be accurate enough for real-world use, and frailty assessment might not improve predictions as hoped.
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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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Zhongda Hospital Southeast University
RECRUITINGNanjing, China
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