AIcura is a retinal insight platform built around a practical screening flow: validate the uploaded fundus image, run a prototype cardiovascular follow-up branch, run diabetes-oriented retinal screening, and present the results in a clear educational report. The long-term path is to upgrade the heart workflow with a task-specific RETFound checkpoint.
A streamlined interface accepts retinal uploads, validates the image, and returns a structured prototype screening report.
The workflow now checks whether the image is likely to be a retinal fundus photo before any screening output is shown.
The architecture is ready for a future RETFound-based heart model when a task-specific checkpoint becomes available.
A diabetes-oriented retinal screening branch already contributes structured educational follow-up guidance in the live demo.
Users upload a retinal image or ask a health-related question and receive an educational response through the live demo workflow.
The platform validates whether the uploaded image looks like a retinal fundus image before allowing screening output.
The current build combines a prototype cardiovascular follow-up branch with diabetes-oriented retinal screening.
Results are presented as a professional-looking educational report with safety notes rather than a clinical diagnosis.