Shows a synthetic research workflow for normal, DR, glaucoma, cataract, and AMD categories.
Public demo
Retina Scan AI
Non-clinical synthetic-data demo for classification workflow review, explainability artifacts, and industrial validation discovery.
Credential-free
Synthetic data
Public-safe
Cloudflare Pages
Live proof surface
Risk notes, Grad-CAM explainability, model cards
online
Review flow
1Open a synthetic scenario that matches the repository's core workflow.
2Inspect the signal, boundary, and human-review output without credentials.
3Use the source repository and local verification command for implementation-level review.
Target users
Health AI research and validation teams
Review path
Industrial validation discovery, not clinical deployment
Local verification
pytest && ruff check .
Service launch path
Retina Scan AI supports private industrial validation discovery.
Non-clinical retinal classification demo with Grad-CAM review and model-card scoping. The free surface stays public and synthetic; private value begins with data suitability review, baseline evaluation planning, and human-review acceptance criteria.
Free entryfree synthetic-data research demo with non-diagnostic framing
Private laneindustrial-validation-discovery
Search intentRetina Scan AI demo / Retina Scan AI system architecture