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Alessia Papale

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#explainable ai Open access Sep 2026

Machine Semiology in Practice: Clinician Strategies for Interpreting AI-Generated Visual Explanations

It is found that saliency maps function as underspecified, indexical sign systems that often conflict with radiological semiology, suggesting that explainability emerges as a sociotechnical accomplishment, with implications for the design of interactive, practice-aligned XAI systems.

Federico Cabitza, Enrico Gallazzi, Alessia Papale · 0 citations

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