<b>Detection of glaucoma using artificial intelligence in fundus image: A narrative review</b>

Glaucoma is a serious disease usually called ʺsilent thief of sightʺ. The disease develops with no observable signs and symptoms leading to blindness if not kept under control and observed in the early stages. A lot of work has been done over the years to increase the accuracy of detecting and predicting glaucomatous changes within the eyes. Artificial intelligence models using fundus imaging modalities are among the most promising tools to detect and predict glaucoma with high accuracy.

Content

Author and article information

Journal

Title: ScienceOpen Preprints

Publisher: ScienceOpen

Publication date (Electronic preprint): 31 January 2023

Affiliations

[1 ] Faculty of science,Alexandria univesity;

Author notes

[* ]Email: EMAN_HAGGER@ 123456YAHOO.COM .

Author information

Eman Hagar https://orcid.org/0000-0003-3698-338X

Article

DOI: 10.14293/S2199-1006.1.SOR-.PP1AAS1.v1

SO-VID: 5cacad52-3fbd-4d07-be0b-475d186ba85c

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

History

Date received : 31 January 2023

Detection of glaucoma using artificial intelligence in fundus image: A narrative review

Abstract