Enhancing Biomedical Named Entity Recognition with Dynamic Definition Augmentation: A Novel AI Approach to Improve Large Language Model Accuracy

Biomedical research relies heavily on precisely identifying and classifying specialized terms from extensive textual data. This process, known as named entity recognition (NER), is fundamental for efficiently sorting and utilizing information within medical literature. Accurately extracting these entities from texts enables researchers and healthcare professionals to understand better and leverage data for medical advancements and […]

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