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Blog

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...
Applications of Generative AI in healthcare

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. In the context of healthcare, Generative...