Research · RegistryLive engine

MyopiAI Registry

The de-identified research registry beneath every surface — the flywheel: every consented child makes the model smarter, cleanly. A growing, inclusive Australian cohort, de-identified by construction, with the international registry minimum dataset captured end-to-end.

Modelled · synthetic demo cohort · n=3,400 · 28 sites

Cohort

the consented cohort
Modelled
Subjects
3,400
consented children
Sites
28
contributing
Visits
9,508
captured
Ethnic groups
6
represented

Enrolment growth — the flywheel

trailing 12 months
Modelled
+41.0%

Consented data compounds: every child added to the registry sharpens the next prediction, cleanly. More inclusive data in → a better engine out → more trust → more consent.

Modelled cumulative-enrolment index (synthetic) ending at the headline +41.0%12-month growth — a stylised illustration of compounding, not observed monthly enrolment.

IMI minimum dataset

registry crosswalk
Modelled
100.0%

captured

The International Myopia Institute (IMI) minimum datasetis the agreed crosswalk of mandatory registry fields — year of birth, sex, refraction (sphere / cylinder / axis → SER), BCVA, axial length, keratometry, and treatment category. Capturing 100% means every subject maps cleanly into international myopia registries.

Study arms

retrospective + prospective
Modelled

A retrospective backbone, growing prospectively — historical depth plus protocolised, forward-collected follow-up.

  • Retrospective2,040
  • Prospective1,360

Cohort diversity

the equity asset
Modelled

Six ethnic groups, including Indigenous Australians — an inclusive local cohort, not a single-population dataset imported from abroad. A model fit on Australian diversity is the honest answer to “does this generalise to ourchildren?”

European33.6% · n=1,143East Asian31.8% · n=1,080South Asian13.8% · n=469Middle Eastern8.6% · n=294Other7.2% · n=244Indigenous5.0% · n=1700.0025.0050.0075.00100.00%

Shares of the consented cohort. Representation is not a performance claim — subgroup effect sizes live on the RWE dashboard.

De-identification & governance

clinical → registry
Modelled

The registry is de-identified by construction: identifiable clinical data stays in its practice-scoped schema; a server-side bridge promotes only consented, coarsened, pseudonymous rows into the research schema.

1Consented only

Only children whose families consent to research are promoted from the clinical record into the registry.

2Identifiers stripped

Name, MRN and contact details never leave the clinical schema — the de-id bridge copies only IMI/biometry fields.

3Coarsened

Date of birth → year of birth + age band; address → region; ethnicity → group — re-identification surface reduced.

4Salted-hash pseudonym

The clinical↔registry link is a one-way salted HMAC pseudonym — stable for follow-up, never reversible to PII.

Australian sovereign hostingDe-identified by constructionAudit-loggedIndigenous data sovereignty (CARE)

Indigenous-community data is handled under the CARE principles (Collective benefit, Authority to control, Responsibility, Ethics) with a custodianship flag carried through to the registry. Honest limit: a salted hash protects the link, not the record — k-anonymity is enforced at the reporting layer (small-cell suppression), not by the bridge alone. Governance: Australian sovereign hosting · de-identified by construction · audit-logged.

Modelled · synthetic demo cohortseed 42ref year 2026live engine

Every figure on this page is modelled on a synthetic demo cohort— not an observed clinical outcome. The subjects, sites, visits and enrolment series are synthetic; the de-identification flow described is the real two-environment design (clinical → de-id bridge → registry).