Application of neural network model in assisting device fitting for low vision patients.

ABSTRACT:

Background

To explore the application of neural network models in artificial intelligence (AI)-aided devices fitting for low vision patients.

Methods

The data of 836 visually impaired people were collected in southwestern Fujian from May 2014 to May 2017. After a full eye examination, 629 low vision patients were selected from this group. Based on the visual functions, rehabilitation needs, and living quality scores of the selected patients, the professionals chose assistive devices that were the best fit for the patients. The data of these three factors were then subjected to the quantitative analysis, and the results were digitized and labeled. The final datasets were used to train a fully connected deep neural networks to obtain an AI-aided model for assistive device fitt

SUBMITTER: Dai B 

PROVIDER: S-EPMC7327309 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature