Synthetic Medical Document Generation Pipeline (MedDocSynth) for Optical Character Recognition: Development and Validation Study on Korean Clinical Documents.
- DOI
- 10.2196/91313
- Published
- 2026 Oct 21
- Container
- JMIR medical informatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/91313,
title = {Synthetic Medical Document Generation Pipeline (MedDocSynth) for Optical Character Recognition: Development and Validation Study on Korean Clinical Documents.},
author = {Lainsa M and Aguirre J and Hyeyoon M and Yejun W and Jang W and Eun Park J and Chul Cha W},
year = {2026},
journal = {JMIR medical informatics},
doi = {10.2196/91313},
url = {https://doi.org/10.2196/91313}
}RIS
TY - JOUR TI - Synthetic Medical Document Generation Pipeline (MedDocSynth) for Optical Character Recognition: Development and Validation Study on Korean Clinical Documents. AU - Lainsa M AU - Aguirre J AU - Hyeyoon M AU - Yejun W AU - Jang W AU - Eun Park J AU - Chul Cha W PY - 2026 JO - JMIR medical informatics DO - 10.2196/91313 UR - https://doi.org/10.2196/91313 ER -
APA
M, L., J, A., M, H., W, Y., W, J., J, E. P., & W, C. C. (2026). Synthetic Medical Document Generation Pipeline (MedDocSynth) for Optical Character Recognition: Development and Validation Study on Korean Clinical Documents.. JMIR medical informatics. https://doi.org/10.2196/91313
Source records
- pubmed · retrieved 2026-11-10T05:11:13.998Z