Visage Imaging

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
- AI
- Pro Medicus
created: '2026-07-05'
modified: '2026-07-05'
specificationVersion: '0.19'
apis:
- aid: visage-imaging:visage-imaging-ai-open-api
  name: Visage 7 AI Open API
  tags:
  - 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
  - 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