NeoVuo Clinical Dashboard
Multi-hospital ROP screening platform
- Year
- 2026
- Role
- Back-end developer
- Client
- NeoVuo research project
- Status
- Live
- Built by
- Rimone Naffi
What it does
Clinicians upload high-resolution fundus images. The platform sends them to the deep-learning models, which classify the ROP stage and flag Plus Disease, and returns an instant report for clinical review.
My back-end work
- Multi-hospital architecture: each hospital has its own dashboard, staff and patient data.
- Invitations and roles: hospital admins invite clinicians by email; access is role-based.
- AI integration: a secure API between the PHP platform and the Python model service.
- Screening history: every patient's images and results over time.
- Audit log: who viewed or changed what, as medical data requires.
- Account flows: sign-up, login and password reset.
NeoVuo is a research tool that supports clinicians and does not replace a doctor's diagnosis.