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Healthcare NLP Blog

This article explores how AI can address physician shortages, its limitations, and how domain-tuned solutions from John Snow Labs support safe deployment.

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Healthcare systems worldwide face a growing challenge: rising patient demand, aging populations, and limited human resources. Physician shortages, burnout, and administrative overload threaten care quality, access, and sustainability. Large Language...

John Snow Labs is thrilled to introduce a powerful set of new ONNX based clinical Named Entity Recognition (NER) models for English, Italian, and Spanish, in its’ most recent release...

Clinical NLP teams regularly deploy pre-annotation servers across multiple project types: NER for text extraction, Visual NER for document processing, classification models for categorization. Each project type requires compatible pipelines....

Every healthcare AI team eventually faces the same uncomfortable question: Can you prove who accessed what, when, and why? Most can’t. Not cleanly. Not instantly. Not in the way a...

This post presents a comparative benchmark of medical Vision Language Models (VLMs) evaluated on a range of clinically relevant visual and multimodal tasks. The study focuses on assessing how well...
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