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PROS CXR: COVID-19
:: AI-based COVID-19 Diagnosis Solution on CXRs


- We present a deep learning solution on chest radiographs (CXRs) for COVID-19 diagnosis, PROS CXR: COVID-19, in close collaborations with KAIST (Korea Advanced Institute of Science and Technology). 

- Our research on COVID-19 diagnosis on CXRs was published on a renowned peer-reviewed journal, IEEE Transactions on Medical Imaging, in August 2020. 

Carefully Designed Triage Solution for Medical Centers Performing COVID-19 Screening


- Our solution classify CXRs into 4 classes with high accuracy: Normal, bacterial pneumonia, tuberculosis, and viral pneumonia including COVID-19.

- Our solution achieves state-of-the-art performance (accuracy: 88.9% and precision: 83.4%) and provides clinically interpretable saliency maps, which are useful for COVID-19 diagnosis and patient triage.

On-Premise or Cloud-based Solution
with Full DICOM Protocol Supports


- Provides clinician-friendly user interface with features of LIST, DICOM TAGS, VIEW, RESULTS, TOOLS, and DOWNLOAD. 
       
- On-Premise standalone or cloud-based solutions are available with native DICOM/DICOMweb protocol supports.  

- Real-time anonymization, TLS-encrypted secured connection, and image sharing functionality in our cloud-based solution.