Cross-modal bias in medical vision-language models: a pipeline-aware framework for mechanisms, evaluation, and mitigation.
- DOI
- 10.3389/fdgth.2026.1904053
- Published
- 2026
- Container
- Frontiers in digital health
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fdgth.2026.1904053,
title = {Cross-modal bias in medical vision-language models: a pipeline-aware framework for mechanisms, evaluation, and mitigation.},
author = {Mehda R and Oishi RA and Alam TT and Morol MK and Hui LT},
year = {2026},
journal = {Frontiers in digital health},
doi = {10.3389/fdgth.2026.1904053},
url = {https://doi.org/10.3389/fdgth.2026.1904053}
}RIS
TY - JOUR TI - Cross-modal bias in medical vision-language models: a pipeline-aware framework for mechanisms, evaluation, and mitigation. AU - Mehda R AU - Oishi RA AU - Alam TT AU - Morol MK AU - Hui LT PY - 2026 JO - Frontiers in digital health DO - 10.3389/fdgth.2026.1904053 UR - https://doi.org/10.3389/fdgth.2026.1904053 ER -
APA
R, M., RA, O., TT, A., MK, M., & LT, H. (2026). Cross-modal bias in medical vision-language models: a pipeline-aware framework for mechanisms, evaluation, and mitigation.. Frontiers in digital health. https://doi.org/10.3389/fdgth.2026.1904053
Source records
- pubmed · retrieved 2026-09-25T07:22:03.671Z