Addressing Generalizability in Clinical Named Entity Recognition: Federated Learning or Large Language Models?: A Case Study on Visual Acuity Extraction from US and UK Eye Institutes
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Clinical Named Entity Recognition (NER) is vital for extracting structured data from clinical text, but ensuring model generalizability across institutions remains challenging. This study compares two approaches: (1) Federated Learning (FL), a privacy-preservi... ...
