Visage Imaging

Visage 7 AI Open API

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).

Modeled, no public reference. Visage Imaging offers this API through a partner, certification or contract program and publishes no public reference for it. API Evangelist drew its shape from Visage Imaging's own material, so the endpoints on this page are a model, not the provider's contract.

GitHub

Documentation

📖
Documentation
https://visageimaging.com/platform/acceleratedai/

Other Resources

🔗
APIsJSON
https://raw.githubusercontent.com/api-evangelist/visage-imaging/refs/heads/main/apis.yml

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API entry from apis.yml

apis.yml Raw ↑ 
aid: visage-imaging:visage-imaging-ai-open-api
endpointsModeled: true
name: Visage 7 AI Open API
tags:
- Artificial Intelligence
- Machine Learning
- Algorithm Integration
- FHIR
- Research
tags_raw:
- AI
- Machine Learning
- Algorithm Integration
- FHIR
- Research
- Machine-Learning
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).