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Authors
Lee, Seowoo
Youn, Jiwon
Kim, Hyungjin
Kim, Mansu
Yoon, Soon Ho https://orcid.org/0000-0002-3700-0165
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Funding
Funding for this research was provided by:
National Research Foundation of Korea (NRF-2022R1F1A1068529)
Institute of Information and Communications Technology Planning and Evaluation (IITP), Korean Government (No.2019-0-01842)
NAVER Digital Bio Innovation Research Fund (3720230020)
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Article History
Received: 19 March 2024
Revised: 25 October 2024
Accepted: 4 December 2024
First Online: 15 January 2025
Compliance with ethical standards
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: The scientific guarantor of this publication is Seowoo Lee.
: The authors of this manuscript declare relationships with the following companies: Medical IP and RadiSen. Seowoo Lee, Hyungjin Kim, and Soon Ho Yoon hold stock options in Medical IP. Hyungjin Kim receives consulting fees from RadiSen and is a member of the Scientific Editorial Board for European Radiology (section: chest) and, as such, did not participate in the selection nor review processes for this article. The author’s roles in these organizations are unrelated to the content of the submitted work. Other authors do not have conflicts of interest.
: No complex statistical methods were necessary for this paper.
: Written informed consent was not required for this study due to the exclusive use of publicly available datasets.
: Institutional Review Board (IRB) approval was not required for this study because it utilized publicly available datasets. This research adheres to the terms of use associated with the datasets, ensuring compliance with ethical standards.
: A preliminary version of this work has been made publicly available as a preprint. The preprint of this study, titled “CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images,” has been uploaded to the arXiv repository. It can be accessed through the following .
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