This study is being done to evaluate the performance of a software that uses artificial intelligence to analyze photographs of the retina to help detect diabetic retinopathy. The study will also assess the safety of the software in combination with a fundus camera already available on the market. This software analyzes retinal photographs to detect more than mild diabetic retinopathy in adults with diabetes. The results will be compared to expert human evaluations.
Study Type
OBSERVATIONAL
Enrollment
198
the duration of the intervention is the analysis performed by the software tool based on fundus images acquired
Number of subjects whose results provided by the automatic AI-based tool match the reading center grading for the identification of referable diabetic eye disease (more than mild DR).
Time frame: 1-day visit
percentage of eyes for which the AI-based automatic tool produced a result
Time frame: 1-day visit
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