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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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.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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National Center for Cardiovascular Diseases
Beijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••