{"title":"Artificial Intelligence Applications in Diabetic Retinopathy: What We Have Now and What to Expect in the Future.","authors":"Mingui Kong, Su Jeong Song","doi":"10.3803/EnM.2023.1913","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11220221/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3803/EnM.2023.1913","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
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.
糖尿病视网膜病变（DR）是糖尿病的主要并发症，也是全球视力丧失的主要原因。及时准确的诊断对于确保良好的视觉效果至关重要，这凸显了提高医疗服务可及性的必要性。近年来，人工智能（AI）取得了长足的进步，人们对其在各个医疗领域的疾病诊断和预后预测中的作用寄予厚望。除了能达到与眼科医生相媲美的高精度外，基于人工智能的 DR 诊断还有可能提高医疗的可及性，尤其是通过远程医疗。在这篇综述论文中，我们旨在研究人工智能目前在诊断 DR 中的作用，并探索未来的发展方向。
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