Deep learning has significantly impacted healthcare research by enhancing natural language processing tasks. The need for transparent model interpretability is crucial for reliable decision-making. This scoping review categorizes XIAI methods based on functionality and scope, highlighting attention mechanisms as dominant. Challenges include the lack of global modeling processes exploration and best practices, while opportunities lie in using attention to enhance multi-modal XIAI for personalized medicine.
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arxiv.org
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by Guangming Hu... at arxiv.org 03-19-2024
https://arxiv.org/pdf/2403.11894.pdfDeeper Inquiries