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Artificial intelligence in ophthalmology: Current status

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Review Article

Author Details : Ankita Sharma, Amit Raj*, Prateek Nishant, Rajendra P Maurya

Volume : 10, Issue : 2, Year : 2024

Article Page : 206-212

https://doi.org/10.18231/j.ijceo.2024.038

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Abstract

Artificial intelligence (AI) has made significant strides in various fields, particularly in ophthalmology, in recent years. This article examines the state-of-the-art in the domain of ophthalmology in order to define the vision that will allow us to advance scientifically in this digital age. The rigorous yet approachable
introduction to the algorithms that serve as the foundation for all current AI applications opens the paper. Subsequently, an extensive assessment of the primary AI uses in ophthalmology is given, including subjects like diabetic retinopathy, age-related macular degeneration, glaucoma, and retinopathy of prematurity. The assessment concludes with a brief discussion of the prospects and difficulties this industry may face in the future.

Keywords: Machine learning, Deep learning, Convolutional neural networks, Keratoconus, Diabetic retinopathy, Glaucoma, Cataract surgery.

How to cite : Sharma A, Raj A, Nishant P, Maurya R P, Artificial intelligence in ophthalmology: Current status. Indian J Clin Exp Ophthalmol 2024;10(2):206-212

This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.