Autonom netthinneavbildning og AI for tidlig oppdagelse av diabetisk retinopati i primærhelsen(2025)

Offentlig prosjektsammendrag

Oivi is developing an automated retinal diagnostics platform to make early eye‑disease screening available in primary care. The 2025 R&D project will deliver a compact camera that autonomously aligns, focuses and captures high‑quality non‑mydriatic images, connected to a secure cloud. The main goals are reliable detection of diabetic retinopathy and exploratory estimation of cardiovascular risk from the same images. Key challenges are robust small‑pupil imaging, real‑time control on embedded hardware, AI with ≥90% sensitivity, ≥85% specificity for referable DR, and secure, low‑bandwidth tele‑ophthalmology. We will use iterative design‑build‑test, clinical data collection and validation with partners in Norway/India, and develop calibration, quality control and documentation to prepare for CE/FDA pathways.