A Bilingual Benchmark for Evaluating Diagnostic Performance of Multimodal Large Language Models in Radiology (RadM-Bench): Evaluation Development and Validation.
- DOI
- 10.2196/92183
- Published
- 2026 Aug 7
- Container
- Journal of medical Internet research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/92183,
title = {A Bilingual Benchmark for Evaluating Diagnostic Performance of Multimodal Large Language Models in Radiology (RadM-Bench): Evaluation Development and Validation.},
author = {Wu Q and Wu Q and Zhang P and Yi Z and Shen Y and Bai Y and Tan H and Dong P and Xue Z and Roberts N and Wang M},
year = {2026},
journal = {Journal of medical Internet research},
doi = {10.2196/92183},
url = {https://doi.org/10.2196/92183}
}RIS
TY - JOUR TI - A Bilingual Benchmark for Evaluating Diagnostic Performance of Multimodal Large Language Models in Radiology (RadM-Bench): Evaluation Development and Validation. AU - Wu Q AU - Wu Q AU - Zhang P AU - Yi Z AU - Shen Y AU - Bai Y AU - Tan H AU - Dong P AU - Xue Z AU - Roberts N AU - Wang M PY - 2026 JO - Journal of medical Internet research DO - 10.2196/92183 UR - https://doi.org/10.2196/92183 ER -
APA
Q, W., Q, W., P, Z., Z, Y., Y, S., Y, B., H, T., P, D., Z, X., N, R., & M, W. (2026). A Bilingual Benchmark for Evaluating Diagnostic Performance of Multimodal Large Language Models in Radiology (RadM-Bench): Evaluation Development and Validation.. Journal of medical Internet research. https://doi.org/10.2196/92183
Source records
- pubmed · retrieved 2026-09-27T00:27:55.430Z