Map clinical terms to ICD-10, RxNorm, SNOMED CT, and 90+ medical vocabularies with high-accuracy entity resolution models, contextual embeddings, and Terminology Server.
A guide for healthcare data leaders navigating the gap between de-identification and provable compliance. If your organization handles clinical data, chances are you already have a de-identification pipeline in place....
DICOM de-identification is workflow-specific because PHI can appear in metadata tags, free-text metadata fields, burned-in image pixels, and encapsulated PDF content. A production pipeline may need to inspect tags, apply...
Medical code resolution maps an entity extracted from clinical text to a concept in a standard terminology. For example, "type 2 diabetes mellitus without complications" maps to E11.9 in ICD-10-CM....
Why radiology AI adoption stalls - and what health systems that scaled it did differently By 2055, US imaging demand will rise 16.9%–26.9% above 2023 levels, while the radiologist workforce...
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