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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Veröffentlicht in:	PLOS digital health Jg. 1; H. 2; S. e0000016
Hauptverfasser:	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:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 01.02.2022 Public Library of Science (PLoS)
Schlagworte:	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
ISSN:	2767-3170, 2767-3170
Online-Zugang:	Volltext
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