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Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84974, first published .
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Fine-Tuning Large Language Models for Structured Extraction of Infectious Disease–Related Information From Clinical Notes in Japanese Primary Care: Development and Internal Validation Study

Fine-Tuning Large Language Models for Structured Extraction of Infectious Disease–Related Information From Clinical Notes in Japanese Primary Care: Development and Internal Validation Study

Hiroshi Yoshihara   1 , MSc ;   Haruka Maeda   2 , MD, MPH, PhD ;   Yuriko Hagiwara   1 , PhD ;   Daichi Sato   3 , PhD ;   Kei Kitajima   3 , MEng ;   Akihiro Iwata   3 , MIA ;   Nicolas Van de Velde   4 , PhD ;   Yuta Nakamura   5 , MD, PhD ;   Yosuke Yamagishi   6 , MSc, MD ;   Ataru Igarashi   1 , PhD

1 Department of Health Policy and Public Health, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan

2 Department of Respiratory Infections, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan

3 M3 Inc., Tokyo, Japan

4 Moderna, Inc., Cambridge, MA, United States

5 Department of Computational Diagnostic Radiology and Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

6 Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

Corresponding Author:

  • Hiroshi Yoshihara, MSc
  • Department of Health Policy and Public Health
  • Graduate School of Pharmaceutical Sciences, The University of Tokyo
  • 7-3-1 Hongo, Bunkyo-ku
  • Tokyo 113-0033
  • Japan
  • Phone: 81 3-5841-4828
  • Email: no14nec0@gmail.com