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--- |
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widget: |
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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." |
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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. 2. some areas are suggestive that pneumonia can not be excluded. 3. recommended to follow-up shortly and check if there are additional symptoms" |
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tags: |
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- text-classification |
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- pytorch |
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- transformers |
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- uncased |
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- radiology |
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- biomedical |
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- covid-19 |
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- covid19 |
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language: |
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- en |
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license: mit |
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--- |
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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. |
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## Citation |
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```bibtex |
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@article{chambon_cook_langlotz_2022, |
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title={Improved fine-tuning of in-domain transformer model for inferring COVID-19 presence in multi-institutional radiology reports}, |
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DOI={10.1007/s10278-022-00714-8}, journal={Journal of Digital Imaging}, |
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author={Chambon, Pierre and Cook, Tessa S. and Langlotz, Curtis P.}, |
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year={2022} |
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} |
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``` |
