To explain or not to explain?-Artificial intelligence explainability in clinical decision support systems.

To explain or not to explain?-Artificial intelligence explainability in clinical decision support systems.

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Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper presents a review of the key arguments in favor and against explainability for AI-powered Clinical Decision Support System (CDSS) applied to a concrete use case, namely an AI-powered CDSS currently used i...

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Bibliographic Details
Main Authors: Julia Amann, Dennis Vetter, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Sara Gerke, Thomas K Gilbert, Thilo Hagendorff, Sune Holm, Michelle Livne, Andy Spezzatti, Inga Strümke, Roberto V Zicari, Vince Istvan Madai, Z-Inspection initiative
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-02-01
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000016

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https://doi.org/10.1371/journal.pdig.0000016

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