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Healthcare NLP Blog

State-of-the-Art Natural Language Processing for Clinical and Biomedical Text.

A Step-by-Step Playbook for Digitizing Every Patient Touchpoint How forward-thinking health systems are using healthcare-native AI to connect every clinical and operational workflow, from admission to discharge and beyond. Introduction:...

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...