Article

Bridging the Gap: Explainability Metrics for AI Image-Based Clinical Diagnostics

2026-07-03

Abstract excerpt

<title>Abstract</title> <p>Artificial intelligence (AI) has shown considerable promise in enhancing diagnostic accuracy in clinical practice. However, its integration into healthcare workflows remains hindered by the opaque nature of many AI models, often referred to as “black-box” systems, which lack interpretability and alignment with clinical reasoning. This study introduces a novel evaluation framework that i...

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Literature Corpus work: 5a676c8a-7d8f-5f76-b007-744730ae1c23
DOI: 10.21203/rs.3.rs-10126184/v1

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