| --- |
| language: |
| - en |
| - zh |
| base_model: |
| - Qwen/Qwen2-VL-7B-Instruct |
| pipeline_tag: image-text-to-text |
| library_name: transformers |
| tags: |
| - vision-language |
| - image-text-to-text |
| - multimodal |
| - dental |
| - dental-diagnosis |
| - medical-ai |
| - qwen2-vl |
| - llamafactory |
| - research |
| license: cc-by-nc-4.0 |
| --- |
| |
| # DentVLM: A Multimodal Vision-Language Model for Comprehensive Dental Diagnosis and Enhanced Clinical Practice |
|
|
| DentVLM is a multimodal vision-language model for dental image understanding and diagnosis-oriented question answering. It supports dental image-question inputs for research tasks including malocclusion recognition, dental disease recognition, and region-aware dental image analysis. The model is released as a research artifact to support reproducibility and further academic research. |
|
|
| ## Model Access |
|
|
| The DentVLM model weights are publicly available from this Hugging Face model repository under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). |
|
|
| Please cite the associated manuscript and this repository when using DentVLM. |
|
|
| ## Source Code and Reproducibility |
|
|
| The source code, training scripts, inference scripts, evaluation scripts, and example data format are available at: |
|
|
| https://github.com/ZJUI-AI4H/DentVLM |
|
|
| The GitHub repository includes instructions for environment setup, model loading, inference, and evaluation. Users should refer to the repository documentation for the exact software versions and command-line examples used in the associated study. |
|
|
|
|
| ## Intended Use |
|
|
| DentVLM is intended for: |
|
|
| - Academic and non-commercial research on dental multimodal vision-language modeling |
| - Dental image understanding and question-answering research |
| - Reproduction and extension of the DentVLM training, inference, and evaluation pipeline |
| - Benchmarking on dental multimodal tasks |
| - Development of research workflows for dental AI evaluation |
|
|
| ## Not Intended For |
|
|
| DentVLM is not intended or approved for: |
|
|
| - Use as the sole basis for clinical diagnosis, treatment planning, triage, or patient management |
| - Emergency medical or dental decision-making |
| - Autonomous or automated clinical decision-making without appropriate validation, professional oversight, and regulatory approval |
| - Commercial use of the released model weights without separate permission from the rights holder |
| - Unlawful, harmful, privacy-invasive, or unethical applications |
|
|
| ## Limitations |
|
|
| - DentVLM is developed as a research model for dental image understanding and diagnosis-oriented question answering. |
| - Model outputs should be interpreted in the context of professional expertise and task-specific evaluation. |
| - Model performance may vary with image quality, imaging modality, acquisition conditions, patient population, annotation standards, and prompt formulation. |
| - Performance in new clinical environments, imaging protocols, or patient populations may differ from the results reported in the associated study. |
| - Users are responsible for conducting appropriate validation before any downstream research or translational use. |
|
|
| ## Ethical Considerations |
|
|
| Users should ensure that all dental images and associated data are collected, processed, stored, and used in compliance with applicable privacy, consent, institutional review, and data protection requirements. |
|
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| Users should not use DentVLM to attempt to identify, re-identify, or infer sensitive information about any individual. The model should not be used for automated clinical decision-making without appropriate validation, professional oversight, and regulatory approval. |
|
|
| ## License |
|
|
| ### DentVLM model weights |
|
|
| The DentVLM fine-tuned model weights and DentVLM-specific model release materials are licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), unless otherwise stated. |
|
|
| Under CC BY-NC 4.0, the released model weights may be used, shared, and adapted for non-commercial purposes, provided that appropriate attribution is given and license terms are followed. |
|
|
| ### Source code |
|
|
| The DentVLM source code, including training, inference, and evaluation scripts, is released in the GitHub repository under the Apache License 2.0, unless otherwise stated in individual files. |
|
|
| ### Upstream components |
|
|
| DentVLM is built on [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct). [Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) is released by Alibaba Cloud under the [Apache License 2.0](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct/blob/main/LICENSE). Third-party components, including [Qwen2-VL](https://github.com/QwenLM/Qwen2-VL), [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory), [vLLM](https://github.com/vllm-project/vllm), and their associated files, remain subject to their original licenses and notices. |
|
|
| This model release does not grant rights to use any third-party trademarks or protected clinical data. |
|
|
| ## Citation |
|
|
| If you use DentVLM, please cite the associated manuscript and this model repository: |
|
|
| ```bibtex |
| @article{meng2025dentvlm, |
| title={Dentvlm: A multimodal vision-language model for comprehensive dental diagnosis and enhanced clinical practice}, |
| author={Meng, Zijie and Hao, Jin and Dai, Xiwei and Feng, Yang and Liu, Jiaxiang and Feng, Bin and Wu, Huikai and Gai, Xiaotang and Zhu, Hengchuan and Hu, Tianxiang and others}, |
| journal={arXiv preprint arXiv:2509.23344}, |
| year={2025} |
| } |
