Comparison of automated and expert human grading of diabetic retinopathy using smartphone-based retinal photography

Purpose The aim of this study is to investigate the efficacy of a mobile platform that combines smartphone-based retinal imaging with automated grading for determining the presence of referral-warranted diabetic retinopathy (RWDR). Methods A smartphone-based camera (RetinaScope) was used by non-opht...

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Veröffentlicht in:	Eye (London) 2021-01, Vol.35 (1), p.334-342
Hauptverfasser:	Kim, Tyson N., Aaberg, Michael T., Li, Patrick, Davila, Jose R., Bhaskaranand, Malavika, Bhat, Sandeep, Ramachandra, Chaithanya, Solanki, Kaushal, Myers, Frankie, Reber, Clay, Jalalizadeh, Rohan, Margolis, Todd P., Fletcher, Daniel, Paulus, Yannis M.
Format:	Artikel
Sprache:	eng
Schlagworte:	692/308 692/53/2422 692/699/3161/3175 692/700/1421 Automation Diabetes Diabetes Mellitus Diabetic retinopathy Diabetic Retinopathy - diagnosis Edema Eye Humans Laboratory Medicine Macular Edema Medicine Medicine & Public Health Ophthalmology Personnel Pharmaceutical Sciences/Technology Photography Retina Retina - diagnostic imaging Retinopathy Sensitivity and Specificity Smartphone Smartphones Surgery Surgical Oncology
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