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AI in Healthcare Blog

English-only clinical NLP creates a two-tier standard of AI-assisted care. Evidence on what equitable, regulatory-grade multilingual deployment actually requires.

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Twenty-six million adults in the United States have limited English proficiency, and half of them experienced a language barrier when dealing with a healthcare provider in the past three years...

High-Accuracy Clinical Term Mapping to Standard Medical Terminologies (ICD-10, RxNorm, SNOMED, and 90+ vocabularies) with...

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....
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