Purpose: To determine if combining clinical, demographic, and imaging data improves automated diagnosis of nonproliferative diabetic retinopathy (NPDR).
Design: Cross-sectional imaging and machine learning study.
Methods: This was a retrospective study performed at a single academic medical center in the United States.