AI is assistive, not autonomous
AI outputs are structured drafts for screening workflow—not diagnoses or treatment decisions.
Responsible by design
AI assistance with clear clinical accountability
DeeponVision is built around a human-in-the-loop model. AI outputs are treated as draft screening support and require review by an ophthalmologist before they are used in patient-facing reports.
Doctor review required
An ophthalmologist reviews, approves, modifies, or rejects AI-assisted output before patient-facing use.
Consent before external processing
The workflow checks recorded patient consent before sending medical data to configured external AI providers.
Clinic-wise data isolation
Organization records are scoped by clinic and protected through policies and route authorization.
Private file storage
Uploaded eye images and reports are stored privately and served only through authenticated routes.
Audit logs
Sensitive workflow events such as uploads, downloads, reviews, PDFs, and settings changes are recorded.
Human-in-the-loop workflow
Staff can prepare the record, while qualified doctors remain responsible for interpretation and clinical decisions.
No final diagnosis claim
Product copy and reports explicitly state that AI-assisted output is not a medical diagnosis.
External provider caution
Every external provider requires privacy, legal, clinical, and data-processing review before production use.
AI is not device diagnosis
DeeponVision does not replace ophthalmic devices, imaging systems, or clinical judgment. AI-assisted summaries require doctor review before patient-facing use.
Provider-flexible architecture
Clinics can test with mock AI, connect internal FastAPI experiments, or configure external providers only where consent, privacy, licensing, and regulatory requirements are satisfied.
The review boundary
AI may assist
Structure a screening summary and suggested review action.
Doctor must decide
Interpret findings, confirm diagnosis, and choose treatment.
Clinic must govern
Validate providers, consent, security, compliance, and clinical use.
Build an AI workflow your doctors can control
Explore the platform’s safeguards and discuss your organization’s governance requirements.
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