Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

By S. Qiu, P. Joshi, Matthew I. Miller, Chonghua Xue, Xiaoping Zhou, C. Karjadi, G. Chang, A. Joshi, Brigid C Dwyer, Shuhan Zhu and 11 more. Brain : a journal of neurology, 2020

398 citations recorded by the source corpus.

Qiu et al. present a novel deep learning strategy to generate high-resolution visualizations of Alzheimer’s disease risk in humans that are highly interpretable and can accurately predict Alzheimer’s disease status. They then test the model by comparing its performance to that of neurologists and neuropathological data.

Subfields: Artificial Intelligence, Health Information Management, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/8d54028aa9d09ee90d4c8505ddfc8561b99270b1