Cite FairMedFM

If you use FairMedFM, its fairness metrics or its benchmark results, please cite:

@article{jin2024fairmedfm,
  title={FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models},
  author={Jin, Ruinan and Xu, Zikang and Zhong, Yuan and Yao, Qingsong and Dou, Qi and Zhou, S Kevin and Li, Xiaoxiao},
  journal={arXiv preprint arXiv:2407.00983},
  year={2024}
}

If you also use the companion capability benchmark MedVLMBench:

@article{zhong2025can,
  title={Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights},
  author={Zhong, Yuan and Jin, Ruinan and Li, Xiaoxiao and Dou, Qi},
  journal={arXiv preprint arXiv:2506.17337},
  year={2025}
}

The repository's CITATION.cff provides the same information for GitHub's "Cite this repository" button and reference managers.

License

The FairMedFM code, including the fairmedfm pip package, is released under the Apache License 2.0: you can use it in academic, clinical and commercial work. This documentation and the figures are under CC BY 4.0. In the benchmark runner, the MoCo code used by the MoCo-CXR model keeps its non-commercial license; see THIRD_PARTY_NOTICES.md.

Acknowledgements

We thank MEDFAIR for their pioneering work on benchmarking fairness in medical image analysis, and Slide-SAM for the SAM inference framework.