Artificial intelligence in retinal image analysis: Development, advances, and challenges

Anthony C Oganov¹, Ian Seddon², Sayena Jabbehdari³, Ogul E Uner⁴, Hossein Fonoudi⁵, Ghasem Yazdanpanah⁶, Oumaima Outani⁷, J Fernando Arevalo⁸

Affiliations

¹ Department of Ophthalmology, Renaissance School of Medicine, Stony Brook, NY, USA.
² College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.
³ Jones Eye Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA. Electronic address: Sjabbehdari@uams.edu.
⁴ Casey Eye Institute, Department of Ophthalmology, Oregon Health and Science University, Portland, OR, USA.
⁵ Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Iranshahr University of Medical Sciences, Iranshahr, Sistan and Baluchestan, Iran.
⁶ Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, IL, USA.
⁷ Faculty of Medicine and Pharmacy of Rabat, Mohammed 5 University, Rabat, Rabat, Morocco.
⁸ Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

PMID: 37116544
DOI: 10.1016/j.survophthal.2023.04.001

Review

Artificial intelligence in retinal image analysis: Development, advances, and challenges

Anthony C Oganov et al. Surv Ophthalmol. 2023 Sep-Oct.

. 2023 Sep-Oct;68(5):905-919.

doi: 10.1016/j.survophthal.2023.04.001. Epub 2023 Apr 26.

Authors

Anthony C Oganov¹, Ian Seddon², Sayena Jabbehdari³, Ogul E Uner⁴, Hossein Fonoudi⁵, Ghasem Yazdanpanah⁶, Oumaima Outani⁷, J Fernando Arevalo⁸

Affiliations

¹ Department of Ophthalmology, Renaissance School of Medicine, Stony Brook, NY, USA.
² College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.
³ Jones Eye Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA. Electronic address: Sjabbehdari@uams.edu.
⁴ Casey Eye Institute, Department of Ophthalmology, Oregon Health and Science University, Portland, OR, USA.
⁵ Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Iranshahr University of Medical Sciences, Iranshahr, Sistan and Baluchestan, Iran.
⁶ Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, IL, USA.
⁷ Faculty of Medicine and Pharmacy of Rabat, Mohammed 5 University, Rabat, Rabat, Morocco.
⁸ Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

PMID: 37116544
DOI: 10.1016/j.survophthal.2023.04.001

Abstract

Modern advances in diagnostic technologies offer the potential for unprecedented insight into ophthalmic conditions relating to the retina. We discuss the current landscape of artificial intelligence in retina with respect to screening, diagnosis, and monitoring of retinal pathologies such as diabetic retinopathy, diabetic macular edema, central serous chorioretinopathy, and age-related macular degeneration. We review the methods used in these models and evaluate their performance in both research and clinical contexts and discuss potential future directions for investigation, use of multiple imaging modalities in artificial intelligence algorithms, and challenges in the application of artificial intelligence in retinal pathologies.

Keywords: Artificial Intelligence; FA; Fluorescein angiography; Fundus photography; OCT; Optical coherence tomography; Retina.

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Conflict of interest statement

Declaration of Competing Interest This manuscript is original research, has not been published and is not under consideration for publication elsewhere. We have no conflicts of interest to disclose. All authors have approved the manuscript and agree with its submission to Survey of Ophthalmology Journal. We have no financial agreement with any organization mentioned in the article.

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Artificial intelligence in retinal image analysis: Development, advances, and challenges

Affiliations

Artificial intelligence in retinal image analysis: Development, advances, and challenges

Authors

Affiliations

Abstract

Conflict of interest statement

Publication types

MeSH terms

LinkOut - more resources

Full Text Sources

Medical