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What is XAI Metrics for Clinical Decision Support about?

This document discusses the importance of explainable AI (XAI) metrics in clinical decision support systems, emphasizing the need for trustworthy explanations in high-stakes healthcare applications. It outlines three key dimensions for evaluating XAI: fidelity, interpretability, and actionability, while highlighting existing gaps in metrics tailored for clinical use and the necessity for human-in-the-loop validation. The report also reviews various frameworks and methodologies for XAI evaluation, noting the

Author

Gaurav Birajdar

Language

EN