This blog post explores how Healthcare Natural Language Processing (NLP) can be utilized to map medical terminology to the MedDRA ontology, facilitating standardized categorization and analysis of medical data for improved healthcare outcomes.
In this post, we explore the utilization of pre-trained models within the Healthcare NLP library by John Snow Labs to map medical terminology to the MedDRA ontology. Specifically, our aim...
How is AI transforming the shift from one-size-fits-all to precision medicine? Traditional medicine treats populations broadly, often overlooking how individual genetics influence treatment response. This approach limits efficacy and contributes...
What Is Driving the Need for AI-Powered Chronic Care Monitoring? Six in ten Americans live with at least one chronic condition1. This growing burden translates into rising healthcare costs, increasing...
The healthcare industry is approaching a defining moment. Artificial intelligence (AI), once a futuristic promise, is now becoming foundational to hospital operations. As AI capabilities evolve and regulatory frameworks mature,...
Why is clinical documentation driving burnout? Documentation is one of the most cited contributors to physician burnout. Doctors are spending hours outside of clinic, often termed "pajama time"- finishing notes,...
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