was successfully added to your cart.

Blog - Articles

Grant will fund R&D of LLMs for automated entity recognition, relation extraction, and ontology metadata...

Medicine’s fundamental goal is to assist patients in managing and improving their health conditions. However, the language used within medical settings can sometimes inadvertently impact patients negatively, influencing their experiences...

What is Clinical Data Abstraction Creating large-scale structured datasets containing precise clinical information on patient itineraries is a vital tool for medical care providers, healthcare insurance companies, hospitals, medical research,...

Healthcare NLP employs advanced filtering techniques to refine entity recognition by excluding irrelevant entities based on specific criteria like whitelists or regular expressions. This approach is essential for ensuring precision...

This blog post explores how John Snow Labs’ Healthcare NLP and LLM library is transforming cancer care by enhancing the interpretation of medical records. Focusing on six common cancer types,...