Accuracy of Large Language Models in Detecting Cases Requiring Immediate Reporting in Pediatric Radiology: A Feasibility Study Using Publicly Available Clinical Vignettes.
- DOI
- 10.3348/kjr.2025.0240
- Published
- 2025 Sep
- Container
- Korean journal of radiology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3348/kjr.2025.0240,
title = {Accuracy of Large Language Models in Detecting Cases Requiring Immediate Reporting in Pediatric Radiology: A Feasibility Study Using Publicly Available Clinical Vignettes.},
author = {Park JS and Hwang J and Kim PH and Shim WH and Seo MJ and Kim D and Shin JI and Kim IH and Heo H and Suh CH},
year = {2025},
journal = {Korean journal of radiology},
doi = {10.3348/kjr.2025.0240},
url = {https://doi.org/10.3348/kjr.2025.0240}
}RIS
TY - JOUR TI - Accuracy of Large Language Models in Detecting Cases Requiring Immediate Reporting in Pediatric Radiology: A Feasibility Study Using Publicly Available Clinical Vignettes. AU - Park JS AU - Hwang J AU - Kim PH AU - Shim WH AU - Seo MJ AU - Kim D AU - Shin JI AU - Kim IH AU - Heo H AU - Suh CH PY - 2025 JO - Korean journal of radiology DO - 10.3348/kjr.2025.0240 UR - https://doi.org/10.3348/kjr.2025.0240 ER -
APA
JS, P., J, H., PH, K., WH, S., MJ, S., D, K., JI, S., IH, K., H, H., & CH, S. (2025). Accuracy of Large Language Models in Detecting Cases Requiring Immediate Reporting in Pediatric Radiology: A Feasibility Study Using Publicly Available Clinical Vignettes.. Korean journal of radiology. https://doi.org/10.3348/kjr.2025.0240
Source records
- pubmed · retrieved 2026-09-26T17:12:02.939Z