What it is
A diagnostic-support tool that reads chest X-rays for signs of disease and flags regions for a clinician's review.
What it detects
Pleural effusion, consolidation, cardiomegaly. Three pathologies — stated openly, not more.
Regulatory status
PENDING Awaiting NAFDAC clearance as a diagnostic-support medical device. Not cleared for clinical use. Expected December 2026.
Clinical deployment
NONE YET It has never been used on a real patient. There are no field results, because there has been no field.
The architecture
DRF-MWU — a recursive field engine that resolves an image by converging on its spatial structure rather than classifying it against labels. Internals are proprietary and patent-pending.
Model size
Thousands of parameters, not billions. Small enough to run offline on an ordinary clinic computer — no GPU, no cloud, no internet.
Patient data
Images are processed on-device. Patient-identifying data never leaves the clinic. Contributed images are de-identified on the device before transmission.
How it learns
Exclusively from licensed clinicians who review anonymised images through a verified reviewer network. Not scraped from the internet.
Business model
A single meter: clinics pay per reading. No subscriptions, no per-seat fees, no paid modules. Small and rural clinics use it free, at the same accuracy.
Built by
OmegaRS — a deep-tech company specialising in edge deployment and lean AI architectures. The underlying theory originated at the Institute for Meta-Sciences, a non-profit research organisation.
Team
SOLO Architecture, engine, product and company built by one researcher, working from Nigeria.
First market
Nigeria and West Africa, where the radiologist shortage is most acute — followed by other under-served regions.