🧠 DermaVLM Organization

DermaVLM is an open-source research organization focused on resource-efficient medical Vision–Language Models (VLMs) for medicine (our use case is dermatology).
Our work combines synthetic data generation, LLM/VLM training, model inference, and clinical image annotation tools into a unified research ecosystem.

This organization is built around the SCALEMED framework, enabling scalable and cost-effective dermatology-focused AI research.

You can reach main codes at https://github.com/DermaVLM

🧪 Research Foundation

📄 Research Paper
This organization is part of the SCALEMED framework.
Read our paper on medRxiv:
Resource-efficient medical vision language model for dermatology via a synthetic data generation framework
https://www.medrxiv.org/content/10.1101/2025.05.17.25327785v2

If you use any of our repositories in your research, please cite our paper (see the Citation section).

📖 Citation

If you use this organization or any associated repositories in your research, please cite:

@article{yilmaz2025resource,
  title={Resource-efficient medical vision language model for dermatology via a synthetic data generation framework},
  author={Yilmaz, A and Yuceyalcin, F and Varol, R and Gokyayla, E and Erdem, O and Choi, D and Demircali, AA and Gencoglan, G and Posma, JM and Temelkuran, B},
  year={2025}
}

Feel free to explore the repositories, open issues, or contribute to advancing medical-focused small and succesful vision-language models.