covid-radbert / README.md
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  - 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

@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}
}