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Author

Kai Hu

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Review Open access Jul 2026

A scoping review of explainable artificial intelligence for medical multimodal data.

Suggestions are provided for the field to transition from individual and post-hoc XAIs toward intrinsically explainable designs where the reasoning logic is built directly into the model architecture to ensure that AI outputs align with human-centric clinical workflows and applications.

Kai Hu, Xing-Yue Fu, Yupeng Zhang et al. · 0 citations

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