Deployment

Deployment refers to output created by AI algorithms when run on a specific dataset. AI Algorithm Integration allows for automated running of AI algorithms on a given dataset without having to manually execute the algorithm on the dataset itself.

An deployment project allows you to run an AI algorithm on a particular dataset or upload new cases for visualising inference results on the fly without validation.

Create Deployment Project

Click on "Deployment" from the left panel
Click on "Create Project" in the deployment platform
Provide "Project Name", "Description" and "Algorithm"
User can edit the key findings of Algorithm
Select "Feedback Template" from
Select "Proceed" then select desired "Dataset" from the datasets drop down
Select "Proceed" to create an Deployment Project
Deployment project will be created and user can see the newly created project in the Deployment summary Panel

Deployment Summary Panel

Click on "Deployment" in the left panel to visualize summary reports of each deployment Project.
The summary panel of each deployment project provides details regarding
- Name
- Description
- Dataset Name
- Total number of studies
- Algorithm
- Findings
- Inferencing Status
Select "Edit" icon to edit project name and description
Use “Delete” icon to delete project
Select “Detail” to view individual deployment project detail

Deployment Project detail

Select “Detail” from deployment summary page to view individual deployment project detail.
Select “Upload” to upload more dicom files into the selected deployment project
Select “Download results” to download deployment
Select “Delete study” to delete individual study from the project
Select “Run algorithm” to re-run the algorithm with selected dataset
User can see the individual deployment status i.e Queued, Processing, Processed and Failed
"Search box" will help to search caseid /patient id/patient name

Add studies to existing project

Click on "Upload" to upload more dicom files into the existing Inferencing project . It will also update the associated dataset.

Delete studies from existing project

Click on "Delete Study" to delete study from existing deployment project . It will also update the associated dataset.

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