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Artificial intelligence for visually impaired

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posted on 2023-05-19, 10:14 authored by J Wang, S Wang, Y Zhang
The eyes are an essential tool for human observation and perception of the world, helping people to perform their tasks. Visual impairment causes many inconveniences in the lives of visually impaired people. Therefore, it is necessary to focus on the needs of the visually impaired community. Researchers work from different angles to help visually impaired people live normal lives. The advent of the digital age has profoundly changed the lives of the visually impaired community, making life more convenient. Deep learning, as a promising technology, is also expected to improve the lives of visually impaired people. It is increasingly being used in the diagnosis of eye diseases and the development of visual aids. The earlier accurate diagnosis of the eye disease by the doctor, the sooner the patient can receive the appropriate treatment and the better chances of a cure. This paper summarises recent research on the development of artificial intelligence-based eye disease diagnosis and visual aids. The research is divided according to the purpose of the study into deep learning methods applied in diagnosing eye diseases and smart devices to help visually impaired people in their daily lives. Finally, a summary is given of the directions in which artificial intelligence may be able to assist the visually impaired in the future. In addition, this overview provides some knowledge about deep learning for beginners. We hope this paper will inspire future work on the subjects.

Funding

Medical Research Council Confidence in Concept Award, UK (MC PC 17171)

Royal Society International Exchanges Cost Share Award, UK (RP202G0230)

Hope Foundation for Cancer Research, UK (RM60G0680)

Global Challenges Research Fund (GCRF), UK (P202PF11)

Sino-UK Industrial Fund, UK (RP202G0289)

Accelerator Award (round 1)

British Heart Foundation

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LIAS Pioneering Partnerships award, UK (P202ED10)

Data Science Enhancement Fund, UK (P202RE237)

Fight for Sight, UK (24NN201)

Sino-UK Education Fund, UK (OP202006)

History

Author affiliation

School of Computing and Mathematical Sciences, University of Leicester

Version

  • VoR (Version of Record)

Published in

Displays

Volume

77

Pagination

102391

Publisher

Elsevier

issn

0141-9382

eissn

1872-7387

Copyright date

2023

Available date

2023-05-19

Language

en

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