Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting

Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting

Abstract Background Cancer patients often experience treatment-related symptoms which, if uncontrolled, may require emergency department admission. We developed models identifying breast or genitourinary cancer patients at the risk of attending emergency department (ED) within 30-days and demonstrat...

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Bibliographic Details
Main Authors: Renee George, Benjamin Ellis, Andrew West, Alex Graff, Stephen Weaver, Michelle Abramowski, Katelin Brown, Lauren Kerr, Sheng-Chieh Lu, Christine Swisher, Chris Sidey-Gibbons
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-023-00317-6

Internet

https://doi.org/10.1038/s43856-023-00317-6

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