Project-MONAI / Project-MONAI/monai-deploy-app-sdk
[FEA] Samples for AIR Evidence Creator + documentation
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 138
- Forks
- 70
- PR merge metrics
- No merged PRs in 30d
Description
IHE AIR is a profile which defines the specific types of objects an AI application should generate, to be conformant with imaging viewers. It defines, for example, a DICOM Segmentation object should be used for a segmentation - but it has additional values required for it to be compliant (including the notion of TID1500 and a 'root result'). It would be of great value to the community to have a sample MAP that produces an AIR-compliant result, which can be used to inspire / inform developers as well as application validators (like IHE Connectathon).
In addition, there should be a section on Standards, maybe in the introduction:
https://docs.monai.io/projects/monai-deploy-app-sdk/en/latest/introduction/index.html
... that provides some detail on how MONAI MAPs can be used to satisfy AIR Evidence Creator actor and transactions.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the introduction page at docs.monai.io/projects/monai-deploy-app-sdk/en/latest/introduction/index.html and review the IHE AIR Evidence Creator requirements described in the issue. Done means a sample MAP demonstrates an AIR-compliant result and the documentation explains how MONAI MAPs satisfy the relevant AIR actor and transactions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, documentation
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100