This is a clinical diagnostic performance study for EyeCheckup with data obtained consecutively at multiple geographically different sites within the US population. These sites include all healthcare settings with a trained ophthalmic camera operator using non-mydriatic cameras that are compatible with EyeCheckup. Moreover, primary endpoints are devised that will be used to validate EyeCheckup to diagnose DR in the primary care and eye care settings. During this color fundus images representing either 4 wide field or 7 standard fields of view will be graded by a qualified professional for diabetic retinopathy according to ETDRS on DRSS scale. The human grading output will be compared with diagnosis generated for diabetic retinopathy by AI software. A comparison of both these grades will be used to determine sensitivity and specificity for the EyeCheckup software for screening for diabetic retinopathy.
This study is a retrospective study to assess the efficacy and accuracy of the EyeCheckup software in screening for diabetic retinopathy in healthcare settings.