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Review Article Artificial Intelligence Applications in Diabetic Retinopathy: What We Have Now and What to Expect in the Future
Mingui Kong1orcid , Su Jeong Song1,2orcid

DOI: https://doi.org/10.3803/EnM.2023.1913 [Epub ahead of print]
Published online: June 10, 2024
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1Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
2Biomedical Institute for Convergence (BICS), Sungkyunkwan University, Suwon, Korea
Corresponding author:  Su Jeong Song, Tel: +82-2-2001-2250, Fax: +82-2-2001-2486, 
Email: sjsong7@gmail.com
Received: 28 December 2023   • Revised: 11 March 2024   • Accepted: 3 April 2024

Diabetic retinopathy (DR) is a major complication of diabetes mellitus and is a leading cause of vision loss globally. A prompt and accurate diagnosis is crucial for ensuring favorable visual outcomes, highlighting the need for increased access to medical care. The recent remarkable advancements in artificial intelligence (AI) have raised high expectations for its role in disease diagnosis and prognosis prediction across various medical fields. In addition to achieving high precision comparable to that of ophthalmologists, AI-based diagnosis of DR has the potential to improve medical accessibility, especially through telemedicine. In this review paper, we aim to examine the current role of AI in the diagnosis of DR and explore future directions.

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