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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-02-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931364/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931364/?tool=EBI

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