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

ABSTRACT: 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 in the emergency call setting to identify patients with life-threatening cardiac arrest. More specifically, we performed a normative analysis using socio-technical scenarios to provide a nuanced account of the role of explainability for CDSSs for the concrete use case, allowing for abstractions to a more general level. Our analysis focused on three layers: technical considerations, human factors, and the designated system role in decision-making. Our findings suggest that whether explainability c

SUBMITTER: Amann J 

PROVIDER: S-EPMC9931364 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature