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A Pretraining Approach for Small-sample Training Employing Radiographs (PASTER): a Multimodal Transformer Trained by Chest Radiography and Free-text Reports

Crossref DOI link: https://doi.org/10.1007/s10916-025-02263-3

Published Online: 2025-09-30

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chen, Kai-Chieh

Kuo, Matthew

Lee, Chun-Ho

Liao, Hao-Chun

Tsai, Dung-Jang

Lin, Shing-An

Hsiang, Chih-Wei

Chang, Cheng-Kuang

Ko, Kai-Hsiung

Hsu, Yi-Chih

Chang, Wei-Chou

Huang, Guo-Shu

Fang, Wen-Hui

Lin, Chin-Sheng

Lin, Shih-Hua

Chen, Yuan-Hao

Hung, Yi-Jen

Tsai, Chien-Sung

Lin, Chin https://orcid.org/0000-0003-2337-2096
Funding

Funding for this research was provided by:

National Science and Technology Council (NSTC112-2321-B-016-003)

Medical Affairs Bureau (MND-MAB-C07-113021)
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Text and Data Mining valid from 2025-09-30

Version of Record valid from 2025-09-30
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Article History

Received: 24 February 2025

Accepted: 4 September 2025

First Online: 30 September 2025

Declarations

:

: The authors declare no competing interests.

: This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of Tri-Service General Hospital (IRB NO. C20230519). The IRB approved the study protocol and waived the requirement for individual informed consent due to the use of fully anonymized and retrospective data.

: All the data were obtained from the hospital’s quality control center, fully anonymized prior to analysis, and exempt from informed consent as approved by the Institutional Review Board.

: The authors have no conflicts of interest to declare.

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