No diagnostic theatre
Moirai does not interpret images, recommend care, validate AI performance, or behave like clinical decision support.
About Moirai
Moirai gives diagnostic imaging practices a maintained record of what AI is deployed, why it is used, what changed, who reviewed it, and what can be handed over when someone asks.
Origin record
Provider-side governanceA local operating file for tool use, source changes, owner decisions, evidence freshness, and signed exports.
Annalise CXR
intended use, sites, modalitiesIFU update
owner review requiredAccepted locally
signed by governance ownerQ1 AI Governance File
export-readyThe exposure
Medico-legal reviews reward contemporaneous records. Without one, teams reconstruct decisions from memory, vendor logs, and scattered meeting notes.
AI supply
950+ FDA-authorised AI/ML medical devices[1]
Clinical AI deployment is no longer a future procurement topic.
Proof gap
Purpose-built governance evidence remains rare[2]
Policies, vendor PDFs, review notes, and approvals usually live apart.
Reviewer ask
Show the file, not the intention.
Moirai turns the operating record into the evidence record.
Sources
What it refuses
The fastest way to make clinical governance look fake is to overclaim. Moirai is strict about scope because the output is designed to survive scrutiny.
Moirai does not interpret images, recommend care, validate AI performance, or behave like clinical decision support.
The product maps governance records to external references. It does not claim regulator approval or guaranteed compliance.
The acquisition path is designed for governance metadata. Readiness checks do not ask for patient data, imaging files, or clinical reports.
Operating model
Assess
A Readiness Check shows what would fail a board, insurer, or reviewer conversation.
Setup
Tool records, vendor evidence, owner roles, controls, and review dates get put in order.
Operate
Source changes, training renewals, missing evidence, and sign-offs become Governance Tasks.
Prove
The AI Governance File seals the current record into a review-ready export.
Research basis
Moirai is informed by peer-reviewed radiology AI research, including Redefining Radiology, published in Diagnostics in 2023. The public claim stays compact here. The source links and wording rules live in the ledger.
Cite the paper
Published 2023
Najjar R. Redefining radiology: A review of artificial intelligence integration in medical imaging. Diagnostics. 2023;13(17):2760. doi:10.3390/diagnostics13172760.
Research ledger
Source support, not endorsement theatreUse to verify title, journal, article page, and publication context.
Google Scholar1,000+ citationsOnly use the citation number when naming Google Scholar as the source.
AltmetricPolicy and patent referencesCitation context only. Do not imply policy or patent endorsement.
Forbes, Pharm ExecMedia citationsSay cited in. Never say featured by or endorsed by.
Next action
Start with a synthetic follow-up workflow. No PHI, no live feed, and no diagnostic automation claims.