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New Methods (1737) Clinical Informatics (2131) Digital Health, Telehealth and e-Innovation in Clinical Settings (693) Natural Language Processing (1224) Ontologies, Classifications, and Coding (416)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91696, first published .
Medical professional uses a tablet in a clinic, with a patient in the background.

Dictionary-Augmented Large Language Model Postprocessing for Bilingual Code-Switched Medical Speech Recognition: Development and Evaluation Study

Dictionary-Augmented Large Language Model Postprocessing for Bilingual Code-Switched Medical Speech Recognition: Development and Evaluation Study

Authors of this article:

Chanryeong Oh1 Author Orcid Image ;   Yul Hwangbo1, 2 Author Orcid Image ;   Wonjoong Cheon3 Author Orcid Image ;   Jaedong Lee1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Chanryeong Oh   1 , BS ;   Yul Hwangbo   1, 2 , MD, PhD ;   Wonjoong Cheon   3 * , PhD ;   Jaedong Lee   1, 2 * , PhD

1 Healthcare AI Team, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea

2 Department of Public Health & AI, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea

3 Department of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jaedong Lee, PhD
  • Healthcare AI Team
  • National Cancer Center
  • Goyang-si, Gyeonggi-do 10408
  • Republic of Korea
  • Phone: 821075293175
  • Email: jeadol2@ncc.re.kr