AI tool aims to predict and prevent kidney damage after surgery
NCT ID NCT07604662
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether a machine-learning tool built into electronic health records can help doctors reduce kidney injury after surgery. Over 25,000 adults having non-emergency surgery will take part. Doctors are randomly assigned to see the tool's risk prediction, see it with an alert, or not see it at all. The goal is to see if the tool improves care and lowers kidney damage.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
EHR-Embedded AKI Risk Score (a machine-learning tool that predicts kidney injury risk)
What this could lead to
If it works, this could show that using a computer tool in medical records helps doctors protect patients' kidneys after surgery, reducing complications.
What could go wrong
This is a pragmatic trial testing a decision-support tool, not a new drug. The tool only advises doctors, so its impact depends on whether doctors follow the recommendations. Results may not apply to other hospitals.
Disclaimer
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the original study
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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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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
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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University of California, San Francisco
San Francisco, California, 94158, United States