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Healthcare NLP Blog

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

It is 2:45 p.m. on a Tuesday in a busy emergency department. Dr. Reyes, a seasoned internist, has just been handed the chart for Mr. Thompson, a 68 year-old man...

Introduction In the evolving landscape of artificial intelligence for healthcare, John Snow Labs continues to demonstrate exceptional leadership with the release of the very first Medical Vision-Language Model (VLM). This model,...

Preventing the preventable: how smart AI systems can reduce claim denials The envelope arrived on a Friday afternoon. Elaine Carter had just returned from her second round of physical therapy,...

This document compares the core capabilities, strengths, and limitations of OpenAI’s large language models (LLMs) with John Snow Labs’ Medical Terminology Server (TS), focusing on terminology mapping use cases in healthcare...

Assertion status detection is critical in clinical NLP but often overlooked, leading to underperformance in commercial solutions like AWS Medical Comprehend, Azure AI Text Analytics, and GPT-4o. We developed advanced...