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Explainable artificial intelligence for neuroimaging-based dementia diagnosis and prognosis

2025-01-14

Abstract excerpt

INTRODUCTION: Artificial intelligence and neuroimaging enable accurate dementia prediction, but ‘black box’ models can be difficult to trust. Explainable artificial intelligence (XAI) describes techniques to understand model behaviour and the influence of features, however deciding which method is most appropriate is non-trivial. Vision transformers (ViT) have also gained popularity, providing a self-explainable,...

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Literature Corpus work
d6287b35-1c6a-5207-b6d8-3e6396b7991d
DOI
10.1101/2025.01.13.25320382
Open publication

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