How to De-identify WSI Data Using Visual NLP for SVS & DICOM | Part 2 Guide - John Snow Labs
Step-by-step guide to using Visual NLP for WSI de-identification, producing clean SVS or DICOM files ready for secure, compliant use.| John Snow Labs
Step-by-step guide to using Visual NLP for WSI de-identification, producing clean SVS or DICOM files ready for secure, compliant use.| John Snow Labs
Discover the low-level, hands-on steps of de-identifying SVS and DICOM medical images using Visual NLP, focusing on PHI hidden in metadata and pixels. Part 1| John Snow Labs
Martlet.ai is a healthcare AI company focused on redefining how payers and providers approach Hierarchical Condition Category (HCC) Coding. Founded by engineers and payment experts from John Snow Labs, this is the first of several planned spinoff companies that will address specific, high-impact healthcare industry challenges with AI.| John Snow Labs
Natural language processing (NLP) and large language models (LLMs) offer a way forward, enabling oncology teams to extract, structure, and analyze data at scale. This blog explores how AI is transforming oncology through better EHR utilization and the tangible benefits it offers clinicians, researchers, and administrators.| John Snow Labs
Productizing healthcare chatbots with John Snow Labs’ Medical LLM-as-a-Judge represents a leap forward in handling prior authorization denials. By automating the evaluation process and minimizing manual effort, healthcare providers can focus on improving patient care rather than battling administrative bottlenecks. By leveraging AWS Bedrock and John Snow Labs’ advanced LLM capabilities, the healthcare sector can not only enhance operational efficiency but also significantly reduce revenue...| John Snow Labs
