AI model aims to predict kidney damage after heart surgery
NCT ID NCT07482683
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will develop a computer model that uses machine learning to predict a patient's risk of developing acute kidney disease after heart surgery. Researchers will collect data from 820 adults undergoing certain heart procedures to build and test the model. The goal is to create an online tool that helps doctors quickly assess individual risk and personalize care, potentially improving recovery and reducing costs.
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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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National Center for Cardiovascular Diseases
Beijing, China
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Other studies related to the condition(s) this trial covers.
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