Visage Imaging

Visage Imaging is a global enterprise imaging vendor and a wholly-owned subsidiary of Pro Medicus Limited (ASX PME). Its flagship Visage 7 Enterprise Imaging Platform delivers server-side rendered images adaptively streamed to an intelligent zero-footprint thin-client viewer for diagnostic radiology, cardiology, and mobile reading, alongside Visage 7 Open Archive and the Visage AI Accelerator research platform. Interoperability is built on healthcare imaging standards - DICOM / DICOMweb, HL7, FHIR, and IHE profiles - and Visage exposes REST and open-API surfaces for AI algorithm integration and QA workflows. There is no public self-service developer portal; API access is partner- and customer-gated (Client Portal login, product documentation login, and an invitation-only AI Accelerator Program), so the API entries below are logically modeled from public product and release-note material rather than a published API reference.

Visage Imaging publishes 5 APIs on the APIs.io network. Tagged areas include Enterprise Imaging, Medical Imaging, Radiology, PACS, and DICOM.

Visage Imaging’s developer surface includes documentation and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

6.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0

5 APIs

Enterprise Imaging Medical Imaging Radiology PACS DICOM DICOMweb HL7 FHIR Healthcare Artificial IntelligencePro Medicus

Kin Score

Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0

Composite quality — 6.7/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.6 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.5 / 9

Regulatory Posture 1.1 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Surface 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/visage-imaging: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 5

Individual APIs this provider publishes, each with its own machine-readable definition.

Get Started 1

Portal, sign-up, and the first successful call

ClientPortal

ClientPortal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 2

The organization behind the API

LinkedIn

Website

Website

Other 1

Properties that don't map to a standard resource type

ParentCompany

ParentCompany

Source (apis.yml)

aid: visage-imaging
url: https://raw.githubusercontent.com/api-evangelist/visage-imaging/refs/heads/main/apis.yml
name: Visage Imaging
kind: company
description: Visage Imaging is a global enterprise imaging vendor and a wholly-owned subsidiary of Pro Medicus Limited (ASX
  PME). Its flagship Visage 7 Enterprise Imaging Platform delivers server-side rendered images adaptively streamed to an intelligent
  zero-footprint thin-client viewer for diagnostic radiology, cardiology, and mobile reading, alongside Visage 7 Open Archive
  and the Visage AI Accelerator research platform. Interoperability is built on healthcare imaging standards - DICOM / DICOMweb,
  HL7, FHIR, and IHE profiles - and Visage exposes REST and open-API surfaces for AI algorithm integration and QA workflows.
  There is no public self-service developer portal; API access is partner- and customer-gated (Client Portal login, product
  documentation login, and an invitation-only AI Accelerator Program), so the API entries below are logically modeled from
  public product and release-note material rather than a published API reference.
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/visage-imaging.png
tags:
- Enterprise Imaging
- Medical Imaging
- Radiology
- PACS
- DICOM
- DICOMweb
- HL7
- FHIR
- Healthcare
- Artificial Intelligence
- Pro Medicus
tags_raw:
- Enterprise Imaging
- Medical Imaging
- Radiology
- PACS
- DICOM
- DICOMweb
- HL7
- FHIR
- Healthcare
- AI
- Pro Medicus
created: '2026-07-05'
modified: '2026-07-05'
specificationVersion: '0.23'
apis:
- aid: visage-imaging:visage-imaging-ai-open-api
  name: Visage 7 AI Open API
  tags:
  - Artificial Intelligence
  - Machine-Learning
  - Algorithm Integration
  - FHIR
  - Research
  tags_raw:
  - AI
  - Machine Learning
  - Algorithm Integration
  - FHIR
  - Research
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://visageimaging.com/platform/acceleratedai/
  properties:
  - url: https://visageimaging.com/platform/acceleratedai/
    type: Documentation
  description: Open API for integrating third-party and customer AI algorithms into the Visage 7 platform and Visage AI Accelerator
    research server, unifying research and diagnostic imaging. Publicly described as supporting FHIR, Python, NIfTI, webforms,
    2D/3D segmentations, semantic annotations, radiomics, bulk de-identification, and ground-truth labeling. Access is invitation-only
    via the Visage AI Accelerator Program; no public API reference is published, so endpoints are modeled from product material
    (endpointsModeled).
- aid: visage-imaging:visage-imaging-qa-rest-api
  name: Visage 7 QA REST API
  tags:
  - QA
  - Workflows
  - REST
  - Data Management
  tags_raw:
  - QA
  - Workflow
  - REST
  - Data Management
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://visageimaging.com/visage-7/
  properties:
  - url: https://visageimaging.com/visage-7/
    type: Documentation
  description: REST API introduced in Visage 7 release notes supporting a data-quality (QA) workflow based on delete-and-resend
    of studies/objects between Visage 7 and connected archives and modalities. Documented only in gated release notes and
    the Client Portal; endpoints and deployment-specific base URL are modeled, not published (endpointsModeled).
- aid: visage-imaging:visage-imaging-dicomweb-api
  name: Visage 7 DICOMweb API
  tags:
  - DICOMweb
  - DICOM
  - QIDO-RS
  - WADO-RS
  - STOW-RS
  - Studies
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://visageimaging.com/visage-7/
  properties:
  - url: https://visageimaging.com/visage-7/
    type: Documentation
  description: Standards-based DICOMweb interface for querying, retrieving, and storing imaging studies against the Visage
    7 archive-neutral platform - QIDO-RS (query), WADO-RS / WADO-URI (retrieve), and STOW-RS (store). Base URL is per-deployment
    and the interface is not exposed through a public developer portal; surface is modeled from the DICOMweb standard and
    Visage's stated interoperability (endpointsModeled).
- aid: visage-imaging:visage-imaging-hl7-fhir-api
  name: Visage 7 HL7 / FHIR Interoperability API
  tags:
  - HL7
  - FHIR
  - ImagingStudy
  - Interoperability
  - EHR
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://visageimaging.com/platform/acceleratedai/
  properties:
  - url: https://visageimaging.com/platform/acceleratedai/
    type: Documentation
  description: HL7 v2 messaging and FHIR-based interoperability for order/result and imaging-context exchange between Visage
    7, the EHR, and RIS (including FHIR ImagingStudy / DiagnosticReport resources referenced by the AI Accelerator toolset).
    Deployment- and integration-specific; no public FHIR capability statement is published, so the surface is modeled (endpointsModeled).
- aid: visage-imaging:visage-imaging-viewer-launch-api
  name: Visage 7 Viewer Launch API
  tags:
  - Viewer
  - Context Launch
  - URL Launch
  - Thin Client
  - EHR Integration
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://visageimaging.com/visage-7/
  properties:
  - url: https://visageimaging.com/visage-7/
    type: Documentation
  description: Context / URL launch interface used to open the Visage 7 zero-footprint thin-client viewer to a specific patient,
    study, or accession from an EHR, RIS, or portal (single sign-on and deep-link parameters). Common to enterprise viewers
    and referenced by Visage's EHR-integration and portal use cases; parameters are deployment-specific and not publicly documented
    (endpointsModeled).
common:
- type: DomainSecurity
  url: security/visage-imaging-domain-security.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/visage-imaging
- type: Website
  url: https://visageimaging.com/
- type: Documentation
  url: https://visageimaging.com/support/product-documentation/
- type: ClientPortal
  url: http://www2013.visageimaging.com/support/client-portal/
- type: ParentCompany
  url: https://www.promedicus.com/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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Visage Imaging

Kin Score

APIs 5

Visage 7 AI Open API

Visage 7 QA REST API

Visage 7 DICOMweb API

Visage 7 HL7 / FHIR Interoperability API

Visage 7 Viewer Launch API

Security Posture 1

Visage Imaging Domain Security

Resources