Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes.

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Bibliographic Details
Title: Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes.
Authors: Wu G; Department of Computer Science, Emory University., Zheng L; Department of Computer Science, University of Chicago., Xie H; Department of Computer Science, Emory University., Xiang Z; School of Computing, University of Georgia., Lu J; Nell Hodgson Woodruff School of Nursing, Emory University., Liu D; Nell Hodgson Woodruff School of Nursing, Emory University., Bold D; Nell Hodgson Woodruff School of Nursing, Emory University., Li B; Department of Computer Science, University of Chicago., Hu X; Nell Hodgson Woodruff School of Nursing, Emory University., Yang C; Department of Computer Science, Emory University.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 876-880.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI250965