From a single prediction to a full patient record, EyeNet covers the whole workflow.
A deep learning model trained on retinal OCT scans classifies an uploaded image as CNV, DME, DRUSEN, or NORMAL in seconds.
Get a prediction and confidence score the moment a scan is uploaded, with disease-specific recommendations included.
Keep a running list of patients and link each scan to one, so a patient's full scan history is always one click away.
Generate a diagnosis report with doctor's remarks and a severity stage, then download it or share it by email.
No specialist hardware or local GPU needed. Upload, analyze, and access results from any device with a browser.
Sign in to save patients and scan history, or try a prediction instantly as a guest with no account required.
Upload a scan or try one of the built-in samples. No account required to take it for a spin.
Try EyeNet