AI for Chest CTs
Clinical decision support for 19 patterns in chest CTs + nodule detection
DACH
Comprehensive AI support for ILD, COPD, & lung cancer
Chest CT provides radiologists both quantitative and qualitative information related to interstitial lung disease, chronic pulmonary obstructive disease and lung cancer. It automatically detects, quantifies and visualizes key disease patterns as well as nodules in lung CTs (e.g. consolidation, ground-glass opacity, emphysema, etc.). ADVANCE Chest CT can be easily accessed via our PACS application DeepUnity Diagnost for an optimal workflow experience. contextflow’s results can be sent manually or automatically to the PACS/VNA as a PDF.
Chest CT:
- Detects, highlights and quantifies lung abnormalities related to ILD, COPD, and lung cancer
- Enhances reporting with quantitative and visual information
- Provides heatmaps with visual overview of lung abnormalities
Study results show an average 31% report reading time savings when SEARCH Lung CT is available for use**
*Chest CT is provided by our partner
**publication forthcoming
Key Benefits
- Average reading time up to 31% shorter**
- Trend towards improved diagnostic accuracy**
- Reduced clicks - integrated directly into our PACS application DeepUnity Diagnost
Key features
- Quantitative and qualitative image analysis for 8 key image patterns and lung nodules
- Outputs include reporting based on guidelines e.g., RECIST, etc.
- Retrieves visually similar reference cases with links to differential diagnosis literature
Customer Quotes
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