readme: ---
  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"
  tags:
  - text-classification
  - pytorch
  - transformers
  - uncased
  - radiology 
  - biomedical
  - covid-19
  - covid19
  language:
    - en
  license: mit
  ---
  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}
  } 
  ```