Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction
arXiv:2605.04221v1 Announce Type: new
Abstract: Clinical named entity recognition from dental progress notes is challenging because documentation is highly unstructured, domain-specific, and often privacy-sensitive. We developed a locally deployable f…