Utility of Multimodal Large Language Models in Analyzing Chest X-Rays with Incomplete Contextual Information
LLMs may produce suboptimal outputs when radiology data are incomplete, but multimodal LLMs enhance reliability and may strengthen clinical decision-making support.
Authors
- Choonghan Kim (ORCID: https://orcid.org/0009-0004-3978-6730)
- Seonhee Cho (ORCID: https://orcid.org/0009-0008-6629-8846)
- Joo Heung Yoon (ORCID: https://orcid.org/0000-0002-0127-8384)
Institutions
- Korea Advanced Institute of Science and Technology (KR)
- University of Pittsburgh (US)
Publication Details
- Journal
- Healthcare Informatics Research
- Published
- 2025-10-31
- DOI
- https://doi.org/10.4258/hir.2025.31.4.416
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Korea Health Industry Development Institute
- Ministry of Science and ICT, South Korea
- National Institutes of Health
- Institute for Information and Communications Technology Promotion