StanfordAIMI/covid-radbert

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}
}