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 and life sciences.
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...
Enhancing Risk Adjustment Accuracy and Revenue Integrity with AI-Powered HCC Coding In April, the Centers for Medicare & Medicaid Services (CMS) released its 2026 Medicare Advantage (MA) Rate Announcement, projecting...
GLiNER and OpenPipe Shine on General Texts but Miss Over 50% of Clinical PHI — Compared to Less Than 5% Misses by Solutions Like John Snow Labs It’s often assumed...
Effortless Clinical Text Analysis with Advanced Pretrained Pipelines This blog post explores Healthcare NLP’s Task-Based Clinical Pretrained Pipelines, showcasing how they streamline clinical text analysis with just one-liner codes. By...
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