Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study.

Saved in:
Bibliographic Details
Title: Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study.
Authors: Dorémus, Océane1 (AUTHOR) oceane.doremus@u-bordeaux.fr, Russon, Dylan1 (AUTHOR), Contrand, Benjamin1 (AUTHOR), Guerra-Adames, Ariel1,2 (AUTHOR), Avalos-Fernandez, Marta2 (AUTHOR), Gil-Jardiné, Cédric1,3 (AUTHOR), Lagarde, Emmanuel1 (AUTHOR)
Source: JMIR AI. 2025, Vol. 4, p1-16. 16p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Description
DOI:10.2196/57828