§ Authority layer · Source-reviewed monthly
A source-reviewed context layer for radiology follow-up status: RANZCR Chapter 9, Ahpra AI guidance, TGA AI and medical-device software guidance, ACSQHC AI guidance and clinical governance, and the National AI Centre register template. Use it as a source map; do not treat it as legal advice, certification, or a cleared-market claim.
Source-reviewed by hand. Not automatically scraped.
Jump to source · freshness at a glance
Cite this page
Reviewed 5 June 2026
Moirai. (2026). Radiology AI intelligence for follow-up status. Moirai Health Pty Ltd. https://moirai.health/standards
RANZCR Chapter 9
Standards of Practice for Clinical Radiology
Reviewed July 2026
TGA SaMD
Software as a Medical Device guidance
Reviewed July 2026
Ahpra AI obligations
Practitioner-side AI use and oversight
Reviewed July 2026
ACSQHC NSQHS
National Safety and Quality Health Service standards
Reviewed July 2026
DISR AI plan
Australia's AI Ethics Principles and Action Plan
Reviewed July 2026
Moirai maps to the above guidance. No endorsement by any regulator, college, or agency is claimed.
Public intelligence layer
This surface is source-reviewed, not automatically scraped. The paid Tools surface remains the private system of record, and follow-up status remains the product wedge.
Signal 01
Source map current
TGA, RANZCR, Ahpra, ACSQHC, and the National AI Centre create overlapping expectations for intended-use review, accountability, monitoring, evidence, and governance visibility.
Public intelligence layer. Moirai maps the landscape around follow-up status and tool oversight; practices still need their own legal and clinical governance review.
Signal 02
Category pressure
Follow-up orchestration is already a named category in radiology AI, with public competitors marketing closed-loop follow-up, incidental-finding tracking, EHR/RIS integration, and revenue/liability outcomes.
Market intelligence only. Moirai should not claim an open cleared market, customer outcomes, or integration parity until each public source and local buyer workflow is verified.
Source confidence
Medium. Public vendor claims and regulatory lists need source-by-source qualification.
Check sourceSignal 03
Private readiness model
Readiness, Assurance, and Navigation scores translate public obligations into concrete evidence gaps, owner actions, review cadence, and board-reportable posture.
The score is a Moirai operating model, not a regulatory certification and not legal advice.
Signal 04
Private record first
Public vendor and ARTG references can support the Atlas. Private tool records own the customer's full risk posture, incidents, evidence, and monitoring record.
Authenticated register first. A public read view remains a candidate only when rows have exact official/vendor citations, checked dates, and no implied endorsement.
Source confidence
Source-backed where public entries exist; otherwise explicitly unknown.
Check sourceSource registry
The register below is generated from the official source registry. It shows what was checked, when it was checked, and the next review date without pretending to run automated legal monitoring or regulator-grade certification.
Last source review
5 June 2026
Official sources
5
High confidence
5
Next review
2026-07-05
Source-reviewed public intelligence; not automatically scraped
Professional standards · Australia and New Zealand
High. Official college standards page.
https://www.ranzcr.com/our-work/artificial-intelligenceSource status
Professional obligations guidance · Australia
High. Official regulator guidance.
https://www.ahpra.gov.au/Resources/Regulating-new-and-changing-healthcare.aspxSource status
Medical device regulation guidance · Australia
High. Official regulator guidance, with explicit scope limits.
https://www.tga.gov.au/products/medical-devices/software-and-artificial-intelligence-ai/manufacturing/artificial-intelligence-ai-and-medical-device-software-regulationSource status
Clinical safety guidance · Australia
High. Official safety and quality body guidance.
https://www.safetyandquality.gov.au/clinical-topics/digital-health/artificial-intelligenceSource status
Whole-of-organisation AI governance guidance · Australia
High. Official government guidance.
https://www.ai.gov.au/staying-safe-and-responsible/essential-ai-practices/ai-systems-registerSource status
Recent reviews
Source-reviewed by hand on a fortnightly-to-monthly cadence. Every re-check lands here, dated, with a one-line summary of what actually changed in the public material.
Re-checked TGA AI and CDSS guidance. Tightened wording around intended purpose, ARTG inclusion, CDSS exemption limits, scope creep, and off-label use.
Added the 2026 National Model clinical-governance signal: board/executive oversight of digitally enabled models of care and automated systems.
National AI Centre AI register
Updated the National AI Centre register citation to the current AI systems register page and preserved the note that registers do not replace deeper risk management.
National AI Centre AI register
Confirmed the AI systems register wording still recommends accountable people per AI system. No structural change to local Tools record schema required.
ACSQHC AI Clinical Use Guide page updated 20 March 2026. Medical Image Interpretation scenario language tightened around automation bias and post-incident review.
TGA AI-enabled ARTG list expanded with two new entries in radiology category. Re-checked intended-use language; existing buyer guidance still applies.
Ahpra published a clarifying FAQ on practitioner accountability for AI-assisted decisions. Wording on this page already covers it; cross-link added.
Confirmed RANZCR's AI-specific standards still sit inside the broader Standards of Practice. No new chapter; clarified version-change review trigger.
Document 01
Checked 31 days agoOverdue by 1 dayRoyal Australian and New Zealand College of Radiologists
Current AI standards page, reviewed May 2026
Read sourceOfficial source citation
Source checked 5 June 2026. External reference: https://www.ranzcr.com/our-work/artificial-intelligence
Professional standards context for AI use in clinical radiology. RANZCR states that AI-specific standards for clinical radiology can be found in Chapter 9 and should be interpreted inside the broader Standards of Practice.
What the source emphasises
How Moirai maps evidence
Document 02
Checked 31 days agoOverdue by 1 dayAustralian Health Practitioner Regulation Agency and National Boards
22 August 2024, regularly updated guidance
Read sourceOfficial source citation
Source checked 5 June 2026. External reference: https://www.ahpra.gov.au/Resources/Regulating-new-and-changing-healthcare.aspx
Practitioner-level guidance on professional obligations when using AI in healthcare. It emphasises safe use, professional codes, human judgement, intended use, limitations, data handling, transparency, consent where relevant, local governance, and indemnity.
What the source emphasises
How Moirai maps evidence
Document 03
Checked 31 days agoOverdue by 1 dayTherapeutic Goods Administration
AI guidance updated 5 February 2026; CDSS guidance updated 29 January 2026
Read sourceOfficial source citation
Source checked 5 June 2026. External reference: https://www.tga.gov.au/products/medical-devices/software-and-artificial-intelligence-ai/manufacturing/artificial-intelligence-ai-and-medical-device-software-regulation
Australian medical device regulation is technology-neutral and based on intended purpose. Software and AI can be regulated as medical devices when intended for diagnosis, prevention, monitoring, prediction, prognosis, treatment, investigation of anatomy or physiological processes, or related therapeutic purposes. TGA CDSS guidance also says advanced analysis of medical-device results or images is unlikely to meet the simple exemption pathway, and AI-enabled CDSS should not be treated as automatically exempt.
What the source emphasises
How Moirai maps evidence
Document 04
Checked 31 days agoOverdue by 1 dayAustralian Commission on Safety and Quality in Health Care
AI page updated 20 March 2026; 2026 National Model released June 2026
Read sourceOfficial source citation
Source checked 5 June 2026. External reference: https://www.safetyandquality.gov.au/clinical-topics/digital-health/artificial-intelligence
Pragmatic AI guidance for health professionals and safety scenarios for clinical AI use, including medical image interpretation. The Commission highlights that AI can introduce new patient risks if not applied thoughtfully and appropriately. The 2026 National Model also places digitally enabled models of care, privacy, security, and automated-system safety inside clinical governance oversight.
What the source emphasises
How Moirai maps evidence
Document 05
Checked 31 days agoOverdue by 1 dayNational AI Centre / Department of Industry, Science and Resources
Template documents published 22 April 2026
Read sourceOfficial source citation
Source checked 5 June 2026. External reference: https://www.ai.gov.au/staying-safe-and-responsible/essential-ai-practices/ai-systems-register
Whole-of-organisation AI adoption guidance. The National AI Centre recommends maintaining an AI systems register that records AI systems, use cases, accountable people, and appropriate governance level, while noting that a register does not replace deeper risk management.
What the source emphasises
How Moirai maps evidence
§ Beyond regulatory
Regulatory mapping helps you prepare for review. The core Moirai product still lives in the Follow-Up Evidence Pack: source, review, practice follow-up assignee, communication, follow-up status, and verifier seal.