Fig. 1

Illustration of the proposed algorithmic pipeline. A deep learning system was developed to assess the overall quality of infant retinal photographs and detect common operational errors. The classification included image quality categories such as excellent, adequate, and poor. Within adequate and poor quality, sub-categories were formed, including “defective contact of camera”, “out of focus” and “inadequate pupil dilatation”. Lower image quality diminishes the capacity to extract patient information effectively.