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AIM begins to solve this problem by capturing the descriptive information of an image with user-generated graphical symbols placed on the image into a single common information source. AIM captures medical findings using standard vocabularies such as RadLex, SNOMED CT, DICOM, and user-defined terminology. Image information captured in the AIM model includes anatomic entity and its characteristics, imaging observation and its characteristics, and inference. However, existing vocabularies used to describe medical images contain thousands of terms that make it difficult for users to find and then include in their AIM annotation.

The AIM Template Manager employs packages templates based on the AIM model to that can then

Working with Template Groups

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