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Imaging reports contain both graphical drawings and medical knowledge in the form of annotations. These annotations are stored as unstructured text and separated from graphical drawings, which are typically in a proprietary format on an imaging system. Extracting this valuable medical information and combining them with drawings on another system is time-consuming and cumbersome to filter and search.

The AIM standard captures 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. Medical findings are captured using standard vocabularies such as RadLex, SNOMED CT, DICOM, and user-defined terminology.

The AIM Template Manager

Image information captured in the AIM model is includes an anatomic entity and its characteristiccharacteristics, imaging observation and its characteristiccharacteristics, and inference. Existing vocabularies contain thousands of terms that make it difficult for users to search and select criteria for inclusion as an AIM annotation. The AIM Template Manager allows biomedical researchers to create their own templates

Working with Template Groups

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