The diagnostic accuracy of an intelligent and automated fundus disease image assessment system with lesion quantitative function (SmartEye) in diabetic patients
BMC Ophthalmology Aug 25, 2019
Xu Y, Wang Y, Liu B, et al. - In this cross-sectional study, researchers reported the diabetic retinopathy (DR) grading results of SmartEye vs ophthalmologists in analyzing images captured with non-mydriatic fundus cameras in community healthcare centers, as well as DR lesion quantitative analysis results on different disease stages. From April 2016 to August 2017, all the fundus images were obtained from the Shanghai Diabetic Eye Study in Diabetics program. Nineteen thousand nine hundred four fundus images were taken from 6013 diabetic patients. Results of lesion quantification demonstrated that the total hemorrhage area, maximum hemorrhage area, total exudation area, and maximum exudation area increase with DR severity. Using non-mydriatic fundus cameras, SmartEye has high diagnostic accuracy in DR screening program. Quantitative analysis of SmartEye can be an innovative and promising method of diagnosing and grading DR.
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