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Healthcare NLP Blog

Our solution leverages both Healthcare and Visual products to deliver comprehensive data protection. The Visual tools handle the processing of various document types — including PDFs, Images, DICOM, and SVS files by extracting text and region-level information.

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In today’s hyper-connected world, every organization is a data company, whether they realize it or not. From hospitals and banks to startups and SaaS platforms, sensitive data flows through every...

The healthcare industry faces a growing challenge in handling prior authorization denials, which cost the U.S. healthcare system approximately $31 billion annually1. These denials lead to significant revenue loss for...

What are Medical Large Language Models (LLMs)? Have you ever wondered how healthcare providers keep up with the constant influx of medical information? How do they sift through mountains of...

Introduction In today’s fast-paced healthcare environment, clinicians face a mounting challenge: balancing patient care with the overwhelming administrative tasks of documentation. SOAP notes, a standardized method developed by Dr. Lawrence...

This article dives into a comparative benchmark of two advanced language models, both tested on a wide array of clinical and biomedical language understanding tasks. On one side stands Claude...