Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech

Beschreibung

This volume constitutes the refereed proceedings of the 2025 International Workshop on Deidentification of Electronic Health Record Notes, IW-DMRN 2025, held in Taipei, Taiwan, during August 10, 2025.
The 9 full papers were included in this were carefully reviewed and selected from 25 submissions. They focus on the foundational requirement for enabling the safe, scalable, and ethical secondary use of healthcare data. Clinical documentation and patient–clinician communications.

Autor*in

Jitendra Jonnagaddala

Themen in »Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech«

Deidentification Electronic Health Records Medical Speech Large Language Models NLP Privacy-Preserving AI AI in Healthcare Sensitive Health Information Automatic Speech Recognition

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