Vision and convolutional transformers for Alzheimer's disease diagnosis: a systematic review of architectures, multimodal fusion and critical gaps.

However, a positive trend towards broader validation was evident in the CViT literature, with a significant number of studies incorporating external or multiple datasets to test for generalization.

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Noted technological variations and architectural innovations Beyond standard implementations, the reviewed studies demonstrated a notable trend of architectural innovation, adapting the foundational ViT principles to better address the specific challenges of neuroimaging and AD-related data.

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