Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance

Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance

Abstract Acute kidney injury (AKI) is a major complication after cardiothoracic surgery. Early prediction of AKI could prompt preventive measures, but is challenging in the clinical routine. One important reason is that the amount of postoperative data is too massive and too high-dimensional to be e...

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Bibliographic Details
Main Authors: Nina Rank, Boris Pfahringer, Jörg Kempfert, Christof Stamm, Titus Kühne, Felix Schoenrath, Volkmar Falk, Carsten Eickhoff, Alexander Meyer
Format: Article
Language:English
Published: Nature Publishing Group 2020-10-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-020-00346-8

Internet

https://doi.org/10.1038/s41746-020-00346-8

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