Update README.md

README.md

@@ -1,7 +1,13 @@
+# Asset from the SCALEMED Framework
 
-# DermatoLLama Adapter checkpoint: 380k
+This model/dataset is an asset released as part of the **SCALEMED** framework, a project focused on developing scalable and resource-efficient medical AI assistants.
 
-This is a LoRA adapter for Llama 3.2-11B Vision-Language Model.
+## Project Overview
+
+The models, known as **DermatoLlama**, were trained on versions of the **DermaSynth** dataset, which was also generated using the SCALEMED pipeline.
+
+For a complete overview of the project, including all related models, datasets, and the source code, please visit our main Hugging Face organization page:
+**[https://huggingface.co/DermaVLM](https://huggingface.co/DermaVLM)**
 
 ## Usage
 
@@ -18,3 +24,18 @@ processor = AutoProcessor.from_pretrained(base_model_name)
 adapter_path = "DermaVLM/DermatoLLama-full"
 model = PeftModel.from_pretrained(model, adapter_path)
 ```
+
+## Citation
+
+If you use this model, dataset, or any other asset from our work in your research, we kindly ask that you please cite our preprint:
+
+```bibtex
+@article{Yilmaz_2024,
+	author = {Yilmaz, Abdurrahim and Yuceyalcin, Furkan and Varol, Rahmetullah and Gokyayla, Ece and Erdem, Ozan and Choi, Donghee and Demircali, Ali Anil and Gencoglan, Gulsum and Posma, Joram M. and Temelkuran, Burak},
+	doi = {10.1101/2025.05.17.25327785},
+	journal = {medRxiv},
+	title = {A synthetic data generation framework for scalable and resource-efficient medical AI assistants},
+	url = {https://www.medrxiv.org/content/10.1101/2025.05.17.25327785v1},
+	year = {2025}
+}
+