AI Results

AI Results specifies how medical imaging analysis results are exchanged and stored. The central use case involves results generated by artificial intelligence (AI Model) algorithms.

Summary

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Benefits

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Details

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<If the user might be familiar with the mechanisms used by the profile, you can mention them here. E.g. Evidence Documents is based on DICOM Structured Report (SR) Templates.>

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Systems Affected

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• PACS systems may store, manage, and/or display Evidence Documents.
• Display systems may query, retrieve and display Evidence Documents.
• Reporting workstations may retrieve, process and include details from Evidence Documents in reports

Actors & Transactions:

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Specification

Profile Status: Trial Implementation

Documents:

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IHE Radiology Technical Framework:

• Vol. 1 - Section 5 (SWF Profile)
• Vol. 2 - Sections 4.8 to 4.10, 4.14 to 4.19, and 4.23
• Vol. 3 - Appendix E

Underlying Standards:

• DICOM

See Also

Related Profiles

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• Reporting Workflow [RWF] may use Evidence Documents as inputs to the reporting process.
• Simple Image & Numeric Reports [SINR] may include data copied from Evidence Documents.
• Cross-enterprise Document Sharing for Imaging [XDS-I] can be used to share Evidence Documents between sites over a network.
• Portable Data for Imaging [PDI] can store Evidence Documents on media such as CDs.
• Import Reconciliation Workflow [IRWF] can fix patient ids, etc. of Evidence Documents when importing.

This page is based on the Profile Overview Template