0000000001134780

AUTHOR

Abhay Shah

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Validation of Automated Screening for Referable Diabetic Retinopathy With an Autonomous Diagnostic Artificial Intelligence System in a Spanish Popula…

2020

Purpose: The purpose of this study is to compare the diagnostic performance of an autonomous artificial intelligence (AI) system for the diagnosis of referable diabetic retinopathy (RDR) to manual grading by Spanish ophthalmologists. Methods: Subjects with type 1 and 2 diabetes participated in a diabetic retinopathy (DR) screening program in 2011 to 2012 in Valencia (Spain), and two images per eye were collected according to their standard protocol. Mydriatic drops were used in all patients. Retinal images—one disc and one fovea centered—were obtained under the Medical Research Ethics Committee approval and de-identified. Exams were graded by the autonomous AI system (IDx-DR, Coralville, Io…

Pediatricsmedicine.medical_specialtyArtificial Intelligence SystemEndocrinology Diabetes and MetabolismBiomedical Engineering030209 endocrinology & metabolismBioengineeringRetina03 medical and health sciences0302 clinical medicinediabetic retinopathy screeningDiabetes MellitusInternal MedicinemedicineHumansMass ScreeningPrimary Health Carebusiness.industryDiabetic retinopathy screeningOriginal ArticlesDiabetic retinopathymedicine.diseaseartificial intelligenceSpanish populationdiabetic retinopathypopulation screening030221 ophthalmology & optometryPopulation screeningbusinessJournal of diabetes science and technology (Online)
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