Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48443, first published .
Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Journals

  1. Hsu H, Huang K, Pan C, Lau T. Optimizing resource allocation with a hybrid algorithm: Enhancing time series mobility tasks efficiency. Advanced Engineering Informatics 2024;62:102757 View
  2. Yu H, Fan L, Li L, Zhou J, Ma Z, Xian L, Hua W, He S, Jin M, Zhang Y, Gandhi A, Ma X. Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. Journal of Healthcare Informatics Research 2024;8(4):658 View
  3. Zaghir J, Naguib M, Bjelogrlic M, Névéol A, Tannier X, Lovis C. Prompt Engineering Paradigms for Medical Applications: Scoping Review. Journal of Medical Internet Research 2024;26:e60501 View
  4. Silva R, Pazin-Filho A. Anonimização de textos médicos com processamento de linguagem natural. Journal of Health Informatics 2025;17:1227 View
  5. Gong S, Chen G, Yang Z. Research on the Design of a Priority-Based Multi-Stage Emergency Material Scheduling System for Drone Coordination. Drones 2025;9(8):524 View
  6. Dai H, Mir T, Chen C, Chen C, Yang H, Lee C, Chou Y, Teng Y, Gupta S, Panchal O, Nadar D, Liao W, Lin Y, Zhao Z, Tsai R, Chang Y, Jonnagaddala J. Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records. npj Digital Medicine 2025;8(1) View

Books/Policy Documents

  1. Li Z, Zheng H, Mao K, Wei Z. Large Language Models for Automatic Deidentification of Electronic Health Record Notes. View
  2. Zhao Z, Chou P, Hussain Mir T, Dai H. Large Language Models for Automatic Deidentification of Electronic Health Record Notes. View