Large Language Models Blog

High-Accuracy Clinical Term Mapping to Standard Medical Terminologies (ICD-10, RxNorm, SNOMED, and 90+ vocabularies) with John Snow Labs’ Medical Language Models

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Ozgur Caglayan

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

Generate DICOM de-identification pipelines with the Visual NLP DICOM Skill

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Nitin Kumar

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 Terminologies in Generative AI Lab: From Entity to Standard Code

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Aleksei Zakharov

Clinical NLP extracts meaning from unstructured text. But in healthcare, extracted meaning isn't useful until it speaks the same language as the systems that need to act on it. An...

Agentic Workflow Design Lets a Small Medical Model Compete with Frontier LLMs

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Mahmood Bayeshi

Hand a language model a difficult clinical case and it will hand you a diagnosis. Quickly, fluently, with an air of total certainty. Quite often it will also be wrong,...

John Snow Labs and 3Aware Announce Partnership to Deliver Multimodal De-Identification Inside the 3Aware Evidence Vault

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Gina Devine

John Snow Labs announced a formal partnership with 3Aware to integrate our world-class multimodal de-identification capabilities directly into the 3Aware Evidence Vault. This collaboration enables health systems to unlock governed,...