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...

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Bibliographic Details
Published in:PLOS digital health 2022-02, Vol.1 (2), p.e0000016
Main Authors: Amann, Julia, Vetter, Dennis, Blomberg, Stig Nikolaj, Christensen, Helle Collatz, Coffee, Megan, Gerke, Sara, Gilbert, Thomas K., Hagendorff, Thilo, Holm, Sune, Livne, Michelle, Spezzatti, Andy, Strümke, Inga, Zicari, Roberto V., Madai, Vince Istvan
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Biology and Life Sciences
Clinical decision making
Clinical outcomes
Computer and Information Sciences
Coronaviruses
Decision making
Decision support systems
Funding
Human factors
Machine learning
Marginalized groups
Medicine and Health Sciences
Physical Sciences
Research and Analysis Methods
Social Sciences
Terminology
Trust
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