MediX-R1: Open-Ended Medical Reinforcement Learning

Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE

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Model Zoo

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Citation

If you use MediX-R1 in your research, please cite our work as follows:

@misc{mullappilly2026medixr1openendedmedical,
      title={MediX-R1: Open Ended Medical Reinforcement Learning}, 
      author={Sahal Shaji Mullappilly and Mohammed Irfan Kurpath and Omair Mohamed and Mohamed Zidan and Fahad Khan and Salman Khan and Rao Anwer and Hisham Cholakkal},
      year={2026},
      eprint={2602.23363},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2602.23363}, 
}

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License

This project is released for research purposes only under CC-BY-NC-SA 4.0 License. It is not intended for clinical or commercial use.

Users are urged to employ MediX-R1 responsibly, especially when applying its outputs in real-world medical scenarios. It is imperative to verify the model's advice with qualified healthcare professionals and not rely on it for medical diagnoses or treatment decisions.

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Acknowledgements

We are thankful to EasyR1 (a fork of veRL) for their open-source RL training framework.

This work was partially supported with NVIDIA Academic Grant 2025 and MBZUAI-IITD Research Collaboration Seed Grant.

We are grateful to MBZUAI for compute and support.