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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76773, first published .
Doctor analyzing data on electronic health record (EHR) chart on laptop.

Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese

Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese

Journals

  1. Kim S, Lee D, Kim Y, Yoon H, Lee H. Beyond Fine-Tuning: Leveraging Domain-Aware In-Context learning with large language models for clinical named entity recognition. Journal of Biomedical Informatics 2026;174:104982 View
  2. Makimoto H, Nagai R, Suzuki T. Toward Cardiovascular Digital Twins in Japan. JACC: Asia 2026;6(10):2557 View
  3. Karako K, Tang W. Clinical artificial intelligence (AI) in Japan: Regulatory pathways, domain-specific evidence, and its data infrastructure from an international perspective. Global Health & Medicine 2026;8(3):166 View
  4. Bouslimi R, Medini M, Hedhli H. Temporal adaptive transfer learning for clinical language models. Network Modeling Analysis in Health Informatics and Bioinformatics 2026;15(1) View
  5. Mochizuki N, Ikeda A, Ohshima H, Fukuda Y, Okuda K, Komaki R, Matsunaga T, kudo K, Goto S, Amai M, Suzuki Y. Development of a Framework for Deidentified Japanese Electronic Health Record Narratives Using BERT: Balancing Privacy Protection and Reproducible Entity Extraction in Real-World Data (Preprint). JMIR Medical Informatics 2026 View
  6. Lainsa M, Aguirre J, Hyeyoon M, Yejun W, Jang W, Eun Park J, Chul Cha W. Synthetic Medical Document Generation Pipeline (MedDocSynth) for Optical Character Recognition: Development and Validation Study on Korean Clinical Documents. JMIR Medical Informatics 2026;14:e91313 View