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AI in Healthcare Blog

Ideas, Risks, and Breakthroughs in Improving Healthcare with AI.

In medicine, evidence forms the cornerstone of its paradigm, primarily derived from data. Across the...

Significance for Cancer Diagnosis Biomarkers (short for biological marker) are measurable biological indicators that provide crucial information about health status, disease processes, or treatment responses. Biomarkers can be molecules, genes,...

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

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...