The National Eye Institute (NEI) awarded a $179,440 Project Grant (CFDA 93.867 - Vision Research) to Kennesaw State University to develop a portable, smartphone-based retinal imaging system and deep learning algorithms for diabetic retinopathy screening in Egypt. The 2-year project aims to establish initial feasibility by: 1) Optimizing image quality of smartphone-based retinal imaging for cost-effective screening, and 2) Developing convolutional neural network-based deep learning models to analyze multiple smartphone retinal images and provide a fused decision for diabetic retinopathy detection. Upon successful completion of the R21 phase milestones, the project will advance to an R33 phase for further validation and effectiveness studies, with the goal of enabling fast diabetic retinopathy screening in low- and middle-income country healthcare settings.
Generated 3/18/25, 2:45 AM