Predicting conversion from MCI to AD by integration of rs-fMRI and clinical information using 3D-convolutional neural network.

Published in: International journal of computer assisted radiology and surgery (2022)

Our developed algorithm managed to predict prognosis from MCI to AD with high levels of accuracy, proving the potential of DL approaches in solving the matter and the efficiency of integrating clinical information with imaging according to the proposed method.

Keyphrases

convolutional neural network
deep learning
mild cognitive impairment
machine learning
high resolution
health information
functional connectivity
resting state
healthcare