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This paper is in the following e-collection/theme issue:

Ethical, Legal, and Social Issues in AI (210) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (1020) Electronic Health Records (1733) Generative Language Models Including ChatGPT (1524) Applications of AI (965)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57828, first published .
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Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study

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

Authors of this article:

Océane Dorémus1 Author Orcid Image ;   Dylan Russon1 Author Orcid Image ;   Benjamin Contrand1 Author Orcid Image ;   Ariel Guerra-Adames1, 2 Author Orcid Image ;   Marta Avalos-Fernandez2 Author Orcid Image ;   Cédric Gil-Jardiné1, 3 Author Orcid Image ;   Emmanuel Lagarde1 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

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  1. Xu Z, Song J, Zhou S, Scharp D, Hobensack M, Hu Y, Shang J, Topaz M. Automating infection indicator extraction in home healthcare through instruction-tuned large language models. Journal of the American Medical Informatics Association 2026;33(6):1146 View
  2. Zheng J, Liu Y, Chen W, Chen M, Yin Y. Risk factors for mis-triage between medical and surgical causes in emergency patients with non-traumatic abdominal pain: a retrospective study. Frontiers in Public Health 2026;14 View
  3. Turkmen H. Generative small language models in clinical NLP: applications, adaptation, and evaluation. PeerJ Computer Science 2026;12:e4000 View

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  3. Lee Y, Bothe H, Geierhos M. 2025 12th International Conference on Social Networks Analysis, Management and Security (SNAMS). A Mixed-Methods Approach to Pseudonymizing Users’ Social Media Profile Data View
  4. Li J, Xu J, Guo Z. 2026 4th International Conference on Big Data and Privacy Computing (BDPC). An Automatic Privacy Data Perception Model for Social Networks Based on Dynamic Prompt and Cross-Attention Gated Fusion View