To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
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...
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 |
Similar Items
-
To explain or not to explain?-Artificial intelligence explainability in clinical decision support systems.
by: Julia Amann, et al.
Published: (2022-02-01) -
Colour television explained/
by: 177892 Holm, W. A., et al.
Published: (1965) -
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
by: Kimji N. Pellano, et al.
Published: (2024-03-01) -
Dependable modulation classifier explainer with measurable explainability
by: Gaurav Duggal, et al.
Published: (2023-01-01) -
Entropy explains aging, genetic determinism explains longevity, and undefined terminology explains misunderstanding both.
by: Leonard Hayflick
Published: (2007-12-01)