A cloud-based AI tool for non-contrast chest CT, icolung provides fast and objective quantification of lung involvement in COVID-19 patients to support risk assessment and severity scoring. It enhances diagnostic performance with the aid of deep-learning-based probability scoring, and improves risk assessment with fast and objective quantification of disease burden in COVID-19 patients.
icolung assigns COVID-19 probability to CT images to support diagnosis by increasing sensitivity and specificity of CT imaging.
Benefits
Diagnostic support
Increase sensitivity and specificity of CT imaging with AI.
Risk assessment
Fast, objective, and standardized quantification of lung involvement to support severity scoring and triage.
Informed
Make better-informed treatment decisions through higher specificity for outcome prediction.
Efficient
Achieve faster radiological reporting on pulmonary status, and improve resource allocation through better patient triage.
- Accurate
Deep-learning image classification with COVID-19 probability score. - Automated
Fully automated image segmentation and quantification. - Objective
Fast and objective assessment of lesion burden. - Detailed
Volumetrics per lobe and in total lungs. - Comprehensive
Quantification per type of CT finding.
