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papersSEP 10 04:00 UTC

XAI-Refine: Automated Explanation-Knowledge Loop for Brain-Age Prediction

A new arXiv preprint introduces XAI-Refine, a framework that couples post-hoc explanation methods with a knowledge-refinement loop for brain-age prediction models. The authors argue that high predictive accuracy alone does not show a model relies on reproducible or neurobiologically plausible mechanisms, so explanations are fed back to iteratively improve the model. The approach aims to make brain-age estimates more interpretable and mechanistically grounded.

XAI-RefineBrain-age predictionKnowledge refinementNeurobiological plausibilityPost-hoc explanationsexplainable-ai

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGXAI-Refine: An Automated Explanation-Knowledge Loop for Brain-Age Prediction ↗SEP 10 04:00 UTC

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