Clinical Validation
How DiagnovisAI is being evaluated before any performance claims are made.
Clinical validation
AI performance cannot simply be assumed to transfer across populations, hospitals, scanners and clinical environments.
DiagnovisAI is entering a two-phase clinical validation at a national referral hospital in Uganda, running over twelve months. Phase one is retrospective accuracy testing on archived Ugandan studies. Phase two is a prospective pilot in the live reporting pathway. Both are subject to independent ethics review.
The research is designed to establish how the platform performs on Ugandan medical imaging data and within real-world radiology workflows.
Partnerships & Collaborations
Clinical and academic collaboration is how responsible medical AI gets built.
Built with partners, not in isolation
Diagnovis is developing clinical and academic collaborations to support the evaluation and responsible introduction of DiagnovisAI. Partnership details will be published here as they are formalised.
Start the conversation
If your institution works in medical imaging, AI evaluation, or health-systems strengthening in East Africa, we would like to hear from you.
Publications
Peer-reviewed output from the Diagnovis research programme.
Peer-reviewed publications will be added here as our research programme matures.
Questions about our validation approach?
We welcome scrutiny. Bring yours to a working session.
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