Add model card metadata and description

Hi! I'm Niels from the community science team at Hugging Face.

I've updated the model card for Medical SAM3 to include relevant metadata such as the pipeline tag and relevant task tags. I've also added links to the paper, GitHub repository, and project page to make the artifact more discoverable and documented.

Please let me know if you have any questions!

README.md

@@ -1,3 +1,35 @@
----
-license: mit
----
+---
+license: mit
+pipeline_tag: image-segmentation
+tags:
+- medical
+- foundation-model
+- sam3
+- segmentation
+---
+
+# Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
+
+Medical SAM3 is a foundation model for universal prompt-driven medical image segmentation, obtained by fully fine-tuning SAM3 on large-scale, heterogeneous 2D and 3D medical imaging datasets with paired segmentation masks and text prompts.
+
+- **Paper:** [Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation](https://huggingface.co/papers/2601.10880)
+- **Project Page:** [https://chongcongjiang.github.io/MedicalSAM3/](https://chongcongjiang.github.io/MedicalSAM3/)
+- **Repository:** [https://github.com/AIM-Research-Lab/Medical-SAM3](https://github.com/AIM-Research-Lab/Medical-SAM3)
+
+## Introduction
+
+Promptable segmentation foundation models such as SAM3 have demonstrated strong generalization capabilities through interactive and concept-based prompting. However, their direct applicability to medical image segmentation remains limited by severe domain shifts. 
+
+By fine-tuning SAM3's model parameters on 33 datasets spanning 10 medical imaging modalities, Medical SAM3 acquires robust domain-specific representations while preserving prompt-driven flexibility. Experiments across organs, imaging modalities, and dimensionalities demonstrate consistent and significant performance gains.
+
+## Citation
+
+```bibtex
+@article{jiang2026medicalsam3,
+  title={Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation},
+  author={Jiang, Chongcong and Ding, Tianxingjian and Song, Chuhan and Tu, Jiachen and Yan, Ziyang and Shao, Yihua and Wang, Zhenyi and Shang, Yuzhang and Han, Tianyu and Tian, Yu},
+  journal={arXiv preprint arXiv:2601.10880},
+  year={2026},
+  url={https://arxiv.org/abs/2601.10880}
+}
+```