COVID-RadBERT was trained to detect the presence or absence of COVID-19 within radiology reports, along an "uncertain" diagnostic when further medical tests are required. 

## Citation

```bibtex
@article{chambon_cook_langlotz_2022, 
  title={Improved fine-tuning of in-domain transformer model for inferring COVID-19 presence in multi-institutional radiology reports}, 
  DOI={10.1007/s10278-022-00714-8}, journal={Journal of Digital Imaging}, 
  author={Chambon, Pierre and Cook, Tessa S. and Langlotz, Curtis P.}, 
  year={2022}
} 
```
{"language": ["en"], "license": "mit", "tags": ["text-classification", "pytorch", "transformers", "uncased", "radiology", "biomedical", "covid-19", "covid19"], "widget": [{"text": "procedure: single ap view of the chest comparison: none findings: no surgical hardware nor tubes. lungs, pleura: low lung volumes, bilateral airspace opacities. no pneumothorax or pleural effusion. cardiovascular and mediastinum: the cardiomediastinal silhouette seems stable. impression: 1. patchy bilateral airspace opacities, stable, but concerning for multifocal pneumonia. 2. absence of other suspicions, the rest of the lungs seems fine."}, {"text": "procedure: single ap view of the chest comparison: none findings: No surgical hardware nor tubes. lungs, pleura: low lung volumes, bilateral airspace opacities. no pneumothorax or pleural effusion. cardiovascular and mediastinum: the cardiomediastinal silhouette seems stable. impression: 1. patchy bilateral airspace opacities, stable. 2. some areas are suggestive that pneumonia can not be excluded. 3. recommended to follow-up shortly and check if there are additional symptoms"}]}
transformers pytorch bert text-classification uncased radiology biomedical covid-19 covid19 en license:mit endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #uncased #radiology #biomedical #covid-19 #covid19 #en #license-mit #endpoints_compatible #region-us 

COVID-RadBERT was trained to detect the presence or absence of COVID-19 within radiology reports, along an "uncertain" diagnostic when further medical tests are required. 


TAGS
#transformers #pytorch #bert #text-classification #uncased #radiology #biomedical #covid-19 #covid19 #en #license-mit #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #text-classification #uncased #radiology #biomedical #covid-19 #covid19 #en #license-mit #endpoints_compatible #region-us 
