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Review
. 2025 Mar 1;44(3):271-274.
doi: 10.1097/ICO.0000000000003778.

AI for Corneal Imaging: How Will This Help Us Take Care of Our Patients?

Travis K Redd  1
Affiliations
Review

AI for Corneal Imaging: How Will This Help Us Take Care of Our Patients?

Travis K Redd. Cornea. .

Abstract

As artificial intelligence continues to evolve at a rapid pace, there is growing enthusiasm surrounding the potential for novel applications in corneal imaging. This article provides an overview of the potential for such applications, as well as the barriers we must overcome to realize it.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

References

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    1. Soleimani M, Esmaili K, Rahdar A, et al. From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based study. Sci Rep. 2023;13:22200.
    1. Redd TK, Prajna NV, Srinivasan M, et al. Image-based differentiation of bacterial and fungal keratitis using deep convolutional neural networks. Ophthalmol Sci. 2022;2:100119.
    1. Redd TK, Prajna NV, Srinivasan M, et al. Expert performance in visual differentiation of bacterial and fungal keratitis. Ophthalmology. 2022;129:227–230.

MeSH terms