AEGIS Ocular Station
Spot the disease — can you beat the AI?
⚠ A screening aid, not a diagnosis. AEGIS helps the doctor, never replaces them. For any real concern, see an eye-care professional.
How to play1 · Look at the eye photo above.
2 · From the menu, pick what you think it is — a healthy eye, or one of the diseases.
3 · The AEGIS Unified Engine reads the same photo and reveals the answer in plain language — see if you beat it.
4 · Watch for the traps: some eyes look perfectly normal but are actually diseased. Those are the ones a quick glance misses — exactly what the engine is built to catch.
Tap Next case to continue. A learning game and screening aid — never a diagnosis; a clinician always stays in charge.
Under the hood — the AI/ML engine we built ▾
The Unified Engine — one AI/ML core, every disease.
1It reads the retina — a deep neural network turns each photo into a numeric fingerprint (same recipe for every disease).
2A panel of specialists checks it — one trained model per disease, each tested honestly (duplicate photos removed so scores can't cheat).
3One answer, one route — the verdicts combine into a single result pointing to the right specialist.
One pass, read by every specialist at once — then routed to the right expert. A clinician stays in command.
A purpose-built system — designed, trained and validated in-house by AEGIS (Dr Loh Kah Meng).
We’re not eye specialists — help us make AEGIS better through more in-depth training
Let’s be honest: AEGIS is a small research programme, not an eye clinic, and we don’t claim to be ophthalmologists. This demo already runs on real de-identified example fundus photos, so you can test it on real eyes without sending anything. If you’d be willing to share your own de-identified retinal fundus image, you’d genuinely help us test and improve it — and we’ll show you what the model sees, purely as an illustration, never a diagnosis. A few honest ground rules first; sending an image means you accept them. Thank you for your support!
A few honest ground rules before you send anything.
1. Not a medical device and not a diagnosis. AEGIS is a research and educational demonstration. Nothing it outputs is medical advice, a diagnosis, a screening result, or a substitute for a qualified clinician. No doctor–patient relationship is created.
2. Do not send identifiable patient data. Remove all names, IDs, dates of birth, and any protected health information (PHI) before sending. Only submit an image you have the right to share. Do not send anyone else’s medical data without their consent.
3. You release AEGIS from liability. By submitting, you agree to indemnify and hold harmless AEGIS, Dr Loh Kah Meng, and anyone associated with the programme from any and all claims, losses, or liability arising from your use of, or reliance on, anything AEGIS provides. You use it entirely at your own risk.
4. Always consult a licensed clinician. For any real eye or health concern, see a qualified doctor or ophthalmologist. Do not delay or disregard professional medical advice because of anything here.
This opens your email app to aegisloh@aegishumanai.com with the terms pre-acknowledged. Attach your de-identified fundus image before sending.
Disclaimer. Research screening/triage tool only — not a medical device, not a diagnosis, not a substitute for a professional exam. A clinician stays in charge. © AEGIS · Loh Kah Meng.