GRAIL :
Machine Learning Data & Project Management

Workflow-friendly data curation, image annotation, and project management for machine learning in Radiology. Fully PACS-integrated and ready to deploy locally and securely within your institution's network.

Explore

 

 

The PACS-integrated
machine learning
data curation &
project management
platform

Machine Learning Project Management

Organize your machine learning project & easily find studies using the PACS-integrated app. Bulk import, anonymize, and collaboratively annotate images, all within routine clinical workflow.

Who are we?

Physician software developers and informatics enthusiasts, affiliated with the Johns Hopkins Radiology AI Lab (RAIL) & Malone Center for Engineering in Healthcare.

How does GRAIL work?

GRAIL is a web-based application with an intuitive UI, built with Vue Javascript. GRAIL integrates with clinical PACS using standard protocols and is easy to deploy with Node.js or as a desktop app with Electron.

650,000

Images Curated to Date

Features

Protocol Management

Define your machine learning project and set restrictions, collaborators, and markup definitions.

Study Query

Find the right studies to add to your project using DICOM query or report search (using third party API).

Bulk Image Retrieval & Anonymization

Bulk import studies using a variety of import tools. Studies are automatically anonymized using HIPAA compliant protocols.

Project Management

Review and clean collaboratively curated studies.

Annotate

Label and annotate curated images. Annotation can be performed in real time while dictating cases during clinical workflow.

Machine Learning Ready

Review and download your images in a format ready for machine learning.

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