---
license: cc-by-nc-sa-4.0
language:
- en
base_model:
- meta-llama/Llama-3.1-8B-Instruct
---
# SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting

## Introduction
SpiroLLM is the **first** multimodal large language model specifically designed to understand spirograms and aid in the diagnosis of Chronic Obstructive Pulmonary Disease (COPD).

## Resource
- **Paper**: [arxiv](https://arxiv.org/abs/2507.16145)
- **Code**: [Github](https://github.com/yudaleng/SpiroLLM)
- **Model**: [huggingface](https://huggingface.co/yudaleng/SpiroLLM)

If you find SpiroLLM useful for your work, please consider citing our work.
```
@misc{mei2025spirollmfinetuningpretrainedllms,
      title={SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting}, 
      author={Shuhao Mei and Yongchao Long and Shan Cao and Xiaobo Han and Shijia Geng and Jinbo Sun and Yuxi Zhou and Shenda Hong},
      year={2025},
      eprint={2507.16145},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2507.16145}, 
}
```