evoTag organizes and corrects DICOM tags and study descriptions, giving them consistent, accurate names. Making it feasible to group studies, search efficiently, and quickly — without changing your workflow. It uses both images and text to map studies to standard categories.
Why teams choose evoTag
Modality coverage
Supports 14 modalities (CT, MR, X-ray, PET, mammography, ultrasound, etc.), ensuring every study type is properly handled/stored.
End-to-end efficiency
From study capture to archive retrieval, evoTag organizes data for smarter, faster, and more accurate radiology operations, including correct prior study linking.
Normalized, consistent data
Standardizes study descriptions and DICOM tags across sites, enabling reliable search, grouping, reporting, and proper Hanging Protocols triggering.
Multi-label support
Handles compound studies (e.g., “CT Brain/Chest/Abdomen”) and allows accurate series-level tagging.
Billing support
Tracks the number of distinct exams accurately, helping teams generate correct billing and reduce errors.
Who its for
Enhance your workflows
How It Works
evoTag is connected to your modalities, PACS, and integrated systems, automatically normalizing and enriching study data in real time, without changing how your teams work.
It analyzes both DICOM metadata and image content to standardize study and series descriptions, correctly tag compound exams, and ensure clean, consistent data flows across your imaging ecosystem.
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Modalities(CT, MR, XR, US, MG)
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evoTagAI-powered study & series normalization
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PACS/VNA
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Viewers & Woklists
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Billing / Analytics / EHR - HIS