Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic reviewResearch in context

Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic reviewResearch in context

Summary: Background: Artificial Intelligence (AI) has been used to automate detection of retinal diseases from retinal images with great success, in particular for screening for diabetic retinopathy, a major complication of diabetes. Since persons with diabetes routinely receive retinal imaging to...

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Bibliographic Details
Main Authors: Qianhui Yang, Yong Mong Bee, Ciwei Cynthia Lim, Charumathi Sabanayagam, Carol Yim-Lui Cheung, Tien Yin Wong, Daniel S.W. Ting, Lee-Ling Lim, HuaTing Li, Mingguang He, Aaron Y. Lee, A Jonathan Shaw, Yeo Khung Keong, Gavin Siew Wei Tan
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:EClinicalMedicine
Subjects:
Artificial intelligence
Retina image
Diabetes-assciated complications
Systemic review
Sereening
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025000215

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http://www.sciencedirect.com/science/article/pii/S2589537025000215

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