Preliminary Assessment of an Automated Tool for Diabetic Retinopathy Screening
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.
22 years old or older [+2]
cannot tolerate eye imaging tests [+6]