AI model aims to predict kidney damage after heart surgery
NCT ID NCT07482683
First seen Mar 26, 2026 · Last updated May 20, 2026 · Updated 6 times
Summary
This study will develop a computer model that uses machine learning to predict which patients might develop acute kidney disease after heart surgery. Researchers will collect data from 820 adults undergoing heart surgery and test the model's accuracy. The goal is to create an online tool that helps doctors identify high-risk patients early and personalize their care.
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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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Contacts and locations
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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: •••••@•••••
Conditions
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