Color Fundus Photography and Deep Learning Applications in Alzheimer Disease.

ABSTRACT:

Objective

To report the development and performance of 2 distinct deep learning models trained exclusively on retinal color fundus photographs to classify Alzheimer disease (AD).

Patients and methods

Two independent datasets (UK Biobank and our tertiary academic institution) of good-quality retinal photographs derived from patients with AD and controls were used to build 2 deep learning models, between April 1, 2021, and January 30, 2024. ADVAS is a U-Net-based architecture that uses retinal vessel segmentation. ADRET is a bidirectional encoder representations from transformers style self-supervised learning convolutional neural network pretrained on a large data set of retinal color photographs from UK Biobank. The models' performance to distinguish AD from non-AD was deter

SUBMITTER: Dumitrascu OM 

PROVIDER: S-EPMC11695061 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature