Predicting acute kidney injury with an artificial intelligence-driven model in a pediatric cardiac intensive care unit
Abstract Background Acute kidney injury (AKI) is among the most common complications following cardiac surgery in adult and pediatric patients, significantly affecting morbidity and mortality. Artificial Intelligence (AI) with Machine Learning (ML) can be used to predict outcomes. AKI diagnosis anti...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-10-01
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Series: | Journal of Anesthesia, Analgesia and Critical Care |
Subjects: | |
Online Access: | https://doi.org/10.1186/s44158-023-00125-3 |