AI PACS

Costa Rica and Canada

AI PACS is a review portal that runs an AI pre-read on uploaded medical images and gives radiologists a draft to check, edit and approve. It was built to support an existing PACS shared between Costa Rica and Canada.

An illustration of the product with sample data, not a screenshot.
Sector
Radiology across sites
Setting
A PACS shared between Costa Rica and Canada
What it is
An AI pre-read and review portal
Roles
Uploader, reviewer and administrator
  • The problem

    When studies move between sites, they arrive with thin or inconsistent details. Radiologists spend time sorting and labelling before they can read, and urgent studies do not stand out.
  • What we built

    A portal where each upload is analysed for modality, anatomy, urgency and image quality. A reviewer approves or corrects the draft, every edit is logged against the AI's answer, and the images open in an OHIF viewer from an Orthanc PACS.
  • About the project

    The AI is a pre-read assistant, not a diagnostic authority. Human override is built in, and every correction is recorded.

What it does

What AI PACS does today, feature by feature.

  • Upload one file or a batch

    Images are uploaded singly or in batches, and frames can be picked out of a video.

  • An AI pre-read

    Each upload is analysed for modality, anatomy, urgency and image quality, with a confidence level.

  • The radiologist decides

    A reviewer approves, edits or rejects the draft. The AI is a pre-read assistant, not a diagnostic authority.

  • Every correction is logged

    Each human edit is stored against what the AI said, which gives the team an audit trail.

  • Instructions under version control

    Administrators edit and version the instructions the AI follows, and each version is benchmarked against reference images.

  • A dashboard for the team

    Counts and charts show what has been uploaded, reviewed and approved.

How it was built

The stages the project went through, in order.

  1. 1

    Design the reviewer's workflow

    Work out what a reviewer needs to see and decide for each study.

  2. 2

    Build the review screens

    Design and build the upload, study and review views.

  3. 3

    Connect DICOM storage and the viewer

    Link the portal to the PACS server and to the image viewer.

  4. 4

    Add roles and the audit trail

    Separate what uploaders, reviewers and administrators can do, and log every edit.

  5. 5

    Deploy and refine

    Release it and adjust it with feedback from the people reviewing.

How it fits in

What it connects to, who can use it and where it runs.

Connects to
An Orthanc PACS server for storage and an OHIF viewer for the images.
Patient details
Studies carry a de-identified patient ID, and the AI is instructed never to include patient identifiers.
Access
Sign-in is required, with separate roles for uploaders, reviewers and administrators.
Who decides
The reviewer. Human override is built into every step.

Last updated

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