AEYE-DS is a software device developed to increase compliance with diabetic retinopathy screening by automatically detecting more-than-mild diabetic retinopathy from digital fundus images using Artificial Intelligence (AI)-based software. This study has been designed to validate the safety and efficacy of the device at primary care and other point of care sites.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
531
Eligible participants will undergo the following procedures: * Photographic imaging of each eye using a funduscopy camera device. Images obtained will be sent to the AEYE-DS software for analysis. * Additional photographic and Optical Coherence Tomography (OCT) images will be obtained using a second funduscopy/OCT camera device. Images obtained will be sent to a professional reading center for analysis. * All study subjects will have their pupils dilated using dilation drops.
The Eye Care Institute
Louisville, Kentucky, United States
Sensitivity and Specificity, Based on Two Macula-centered Images (One Image From Each Eye of the Patient)
Sensitivity and specificity of the AEYE-DS device to detect mtmDR on digital funduscopic images, acquired by the Topcon NW400 fundoscopy device, based on two macula-centered images (one image from each eye of the patient). Sensitivity and specificity were calculated by comparing the output results of the AEYE-DS device to the ground truth (diagnostic determination by an independent, blinded panel of expert ophthalmologists at a reading center). The worst of two eyes was compared with the AEYE-DS output at the participant level.
Time frame: 1 day
Sensitivity and Specificity, Based on Four Images (One Macula Centered Image and One Optic Disc Centered Image Per Eye)
Sensitivity and specificity of the AEYE-DS device to detect mtmDR from digital funduscopic images, acquired by the Topcon NW400 fundoscopy device, based on four images (one macula centered image and one optic disc centered image per eye). Sensitivity and specificity were calculated by comparing the output results of the AEYE-DS device to the ground truth (diagnostic determination by an independent, blinded panel of expert ophthalmologists at a reading center). The worst of two eyes was compared with the AEYE-DS output at the participant level.
Time frame: 1 day
Imageability, Based on Two Macula-centered Images (One Image From Each Eye of the Patient)
To assess the imageability of AEYE-DS, defined as the percentage of participants with a diagnostic output (positive for more than mild DR or negative for more than mild DR) from the AEYE-DS device. Participants with no diagnostic output (i.e., AEYE-DS output of "Insufficient Quality") lowers the imageability of the AEYE-DS.
Time frame: 1 day
Imageability, Based on Four Images (One Macula Centered Image and One Optic Disc Centered Image Per Eye)
To assess the imageability of AEYE-DS, defined as the percentage of participants with a diagnostic output (positive for more than mild DR or negative for more than mild DR) from the AEYE-DS device. Participants with no diagnostic output (i.e., AEYE-DS output of "Insufficient Quality") lowers the imageability of the AEYE-DS.
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Time frame: 1 day