Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent.
Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent. Despite the frequent use of iodinated contrast agents in medical investigations, predictive models for CI-AKI are scarce. This study aimed to construct and validate interpretable deep learning models for the early risk prediction of acute kidney injury (AKI) associated with iodinated contrast agents.
Study Type
OBSERVATIONAL
Enrollment
2,000
The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital
Jinan, Shandong, China
AKI
During the patient's hospitalization, acute kidney injury occurred after the use of Iodinated contrast media
Time frame: Completed through study, up to half a year
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